ARC2
type: Framework
type: SoftwareApplication
country: Germany
first release: 2004
focus area: Legacy PHP projects
focus area: MySQL storage
focus area: PHP RDF
focus area: SPARQL
github: arc2
has benchmark: false
has demo: false
language: PHP
license: W3C / GPL
logo hint: ARC2 PHP RDF logo
pricing: Open Source
region: Europe
scale note: MySQL-backed, limited by PHP memory. Suitable for small datasets only
scale tier: small
speed note: Slow by modern standards. PHP + MySQL overhead. Largely superseded by other tools
speed tier: slow
subcategory: PHP Library
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: PHP library for working with RDF data including parsing, serializing, storing, and SPARQL querying
manufacturer: Benjamin Nowack

AllegroGraph
type: Database
type: SoftwareApplication
country: USA
demo url: https://allegrograph.com/agraph/agraph-gruff.html
first release: 2004
focus area: Federated queries
focus area: Geospatial
focus area: Prolog reasoning
focus area: SPARQL
focus area: Temporal reasoning
has benchmark: false
has demo: true
language: Common Lisp / Java
license: Proprietary (Free Edition available)
logo hint: AllegroGraph Franz Inc logo
logo url: https://www.google.com/s2/favicons
pricing: Free Edition + Commercial Enterprise
region: North America
review url: https://www.youtube.com/watch
scale note: Handles billions of triples. Multi-master replication for horizontal scaling
scale tier: large
speed note: Solid performance especially for complex reasoning queries. Geospatial and temporal indexing are fast
speed tier: fast
subcategory: Triple Store
supports standard: JSON-LD
supports standard: LDP
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SPARQL 1.1
description: High-performance persistent graph database by Franz Inc. with RDF, SPARQL, RDFS++, Prolog reasoning, and federated queries
manufacturer: Franz Inc

Amazon Neptune
type: Database
type: SoftwareApplication
country: USA
first release: 2018
focus area: Gremlin
focus area: Managed cloud service
focus area: SPARQL
focus area: Serverless option
focus area: openCypher
has benchmark: false
has demo: false
language: Managed Service
license: Proprietary (Cloud Service)
logo hint: Amazon Neptune AWS logo
logo url: https://www.google.com/s2/favicons
pricing: Pay-per-use (from ~$0.348/instance-hour)
region: North America
scale note: Scales via AWS infrastructure. Serverless option auto-scales. No upper limit on data size
scale tier: large
speed note: Managed service - performance depends on instance size. Competitive but not the fastest per dollar
speed tier: moderate
subcategory: Managed Graph Database
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Fully managed AWS graph database supporting RDF/SPARQL and property graphs with TinkerPop/Gremlin and openCypher
manufacturer: Amazon Web Services

AnzoGraph
type: Database
type: SoftwareApplication
country: USA
first release: 2018
focus area: Data integration
focus area: In-memory
focus area: OLAP on graphs
focus area: SPARQL analytics
has benchmark: false
has demo: false
language: C++
license: Proprietary (Free Edition up to 16GB)
logo hint: AnzoGraph Cambridge Semantics logo
logo url: https://www.google.com/s2/favicons
pricing: Free Edition (8-16 GB) + Commercial Enterprise
region: North America
scale note: In-memory architecture. Free edition limited to 16GB. Scales via distributed memory in enterprise
scale tier: large
speed note: Very fast for analytical/aggregation queries - designed for OLAP-style workloads on graph data
speed tier: fast
subcategory: Analytical Graph Database
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: RDF 1.2
supports standard: SPARQL 1.1
supports standard: SPARQL 1.2
description: In-memory analytical graph database (originally by Cambridge Semantics, now part of Altair/Siemens) supporting RDF/SPARQL with high-speed analytics on massive datasets. Also known as Altair Graph Studio.
manufacturer: Cambridge Semantics

Apache Commons RDF
type: Framework
type: SoftwareApplication
country: Global
first release: 2015
focus area: Jena/RDF4J interop
focus area: RDF API abstraction
focus area: Type-safe interfaces
github: commons-rdf
has benchmark: false
has demo: false
language: Java
license: Apache 2.0
logo hint: Apache Commons RDF logo
pricing: Open Source
region: Global
scale note: No storage - delegates to backing implementation
scale tier: varies
speed note: API layer only - performance depends entirely on the backing implementation (Jena, RDF4J, etc.)
speed tier: varies
subcategory: Java Library
supports standard: RDF 1.1
description: Common Java interfaces for RDF 1.1 providing a type-safe API with implementations for Jena, RDF4J, and JSON-LD. Effectively dormant since 2017, though not formally retired.
manufacturer: Apache Software Foundation

Apache Jena
type: Framework
type: SoftwareApplication
country: UK
first release: 2000
focus area: Fuseki server
focus area: OWL reasoning
focus area: RDF API
focus area: SPARQL 1.1
focus area: TDB storage
github: jena
has benchmark: true
has demo: false
language: Java
license: Apache 2.0
logo hint: Apache Jena logo
pricing: Open Source
region: Europe
scale note: Mature and proven at scale with TDB2. Handles hundreds of millions of triples in production
scale tier: medium
speed note: Solid Java performance for I/O and queries. JVM warmup cost but good sustained throughput
speed tier: moderate
subcategory: Java Framework
supports standard: JSON-LD
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: RDF 1.2
supports standard: SHACL
supports standard: SPARQL 1.1
supports standard: SPARQL 1.2
description: Comprehensive Java framework for building Semantic Web and Linked Data applications, with RDF API, SPARQL engine, and OWL reasoning
manufacturer: Apache Software Foundation

Apache Jena Fuseki
type: Database
type: SoftwareApplication
country: UK
first release: 2012
focus area: Graph Store Protocol
focus area: HTTP endpoint
focus area: SPARQL server
focus area: TDB2 storage
github: jena
has benchmark: false
has demo: false
language: Java
license: Apache 2.0
logo hint: Apache Jena Fuseki logo
pricing: Open Source
region: Europe
scale note: Production-proven with TDB2. Handles hundreds of millions of triples
scale tier: large
speed note: Same engine as Jena, with HTTP overhead. TDB2 backend gives good persistent storage performance
speed tier: moderate
subcategory: SPARQL Server
supports standard: JSON-LD
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: RDF 1.2
supports standard: SHACL
supports standard: SPARQL 1.1
supports standard: SPARQL 1.2
description: SPARQL server providing RDF data over HTTP with SPARQL 1.1 query/update protocols, integrated with Jena TDB persistent store
manufacturer: Apache Software Foundation

AtomGraph LinkedDataHub
type: Tool
type: SoftwareApplication
country: Denmark
demo url: https://atomgraph.github.io/LinkedDataHub/
first release: 2019
flag: 🇩🇰
focus area: Faceted search
focus area: LDP support
focus area: Linked Data publishing
focus area: Low-code
focus area: SPARQL
github: LinkedDataHub
has benchmark: false
has demo: true
language: Java / Web
license: Apache 2.0
logo hint: AtomGraph LinkedDataHub logo
pricing: Open Source + Commercial Cloud
region: Europe
scale note: Scales with the backing triple store. Cloud option available for managed deployments
scale tier: medium
speed note: Java-based platform - performance depends on backing SPARQL store
speed tier: varies
subcategory: Linked Data Platform
supports standard: LDP
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Low-code Knowledge Graph application platform built entirely on RDF and SPARQL. Supports faceted search, set-based navigation, and declarative data-driven web apps with LDP and DCAT support
manufacturer: AtomGraph

Blazegraph
type: Database
type: SoftwareApplication
country: USA
first release: 2006
focus area: Full-text search
focus area: High availability
focus area: SPARQL 1.1
focus area: Wikidata
github: database
has benchmark: false
has demo: false
language: Java
license: GPL v2
logo hint: Blazegraph logo
pricing: Open Source (unmaintained since 2020)
region: North America
scale note: Handles billions of triples (proven by Wikidata). Unmaintained since 2020 - no future improvements
scale tier: large
speed note: Good performance - powers Wikidata Query Service. Optimized for read-heavy workloads
speed tier: fast
subcategory: Triple Store
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: High-performance graph database supporting RDF/SPARQL; powers the Wikidata Query Service. No longer actively maintained (archived 2026).
manufacturer: Blazegraph

Comunica
type: Framework
type: SoftwareApplication
country: Belgium
demo url: https://comunica.dev/docs/query/getting_started/query_browser_app/
first release: 2018
focus area: Browser-ready
focus area: Federated queries
focus area: Linked Data
focus area: Modular architecture
focus area: SPARQL querying
github: comunica
has benchmark: false
has demo: true
language: TypeScript
license: MIT
logo hint: Comunica SPARQL query engine logo
pricing: Open Source
region: Europe
scale note: Designed for federated querying across many small sources, not for querying a single massive dataset
scale tier: medium
speed note: Moderate - JS/TS overhead vs. native engines. Strength is querying heterogeneous sources, not raw speed
speed tier: moderate
subcategory: JavaScript Query Engine
supports standard: JSON-LD
supports standard: LDP
supports standard: RDF 1.1
supports standard: RDF 1.2
supports standard: SPARQL 1.1
supports standard: SPARQL 1.2
description: Highly modular meta SPARQL query engine for the Web, querying over heterogeneous Linked Data interfaces
manufacturer: Comunica

EasyRdf
type: Framework
type: SoftwareApplication
country: UK
first release: 2011
focus area: Linked Data consumption
focus area: PHP RDF
focus area: Simple API
focus area: Web development
github: easyrdf
has benchmark: false
has demo: false
language: PHP
license: BSD-3-Clause
logo hint: EasyRdf PHP RDF logo
pricing: Open Source
region: Europe
scale note: Designed for consuming small amounts of Linked Data in web apps, not bulk processing
scale tier: small
speed note: Adequate for PHP web applications. Not performance-oriented
speed tier: moderate
subcategory: PHP Library
supports standard: JSON-LD
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: PHP library designed to make it easy to consume and produce RDF, with support for multiple serialization formats
manufacturer: EasyRdf Contributors

Eclipse RDF4J
type: Framework
type: SoftwareApplication
country: Netherlands
first release: 2004
focus area: LMDB backend
focus area: RDF storage
focus area: Reasoning
focus area: SAIL API
focus area: SPARQL 1.1
github: rdf4j
has benchmark: true
has demo: false
language: Java
license: Eclipse Public License 2.0
logo hint: Eclipse RDF4J logo
pricing: Open Source
region: Europe
scale note: Production-grade. LMDB native store handles large datasets well. Used by GraphDB under the hood
scale tier: medium
speed note: Comparable to Jena for most operations. LMDB store mode improves disk performance significantly
speed tier: moderate
subcategory: Java Framework
supports standard: JSON-LD
supports standard: LDP
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: RDF 1.2
supports standard: SHACL
supports standard: SPARQL 1.1
supports standard: SPARQL 1.2
description: Eclipse framework for processing and handling RDF data, with parsers, triple stores (memory, native, LMDB), SPARQL query engine, and reasoning
manufacturer: Eclipse Foundation

GraphDB
type: Database
type: SoftwareApplication
country: Bulgaria
demo url: https://graphdb.ontotext.com/
first release: 2004
focus area: Connectors
focus area: Enterprise RDF
focus area: OWL/RDFS reasoning
focus area: SPARQL 1.1
focus area: Visual workbench
has benchmark: true
has demo: true
language: Java
license: Proprietary (Free Edition available)
logo hint: Ontotext GraphDB logo
logo url: https://www.google.com/s2/favicons
pricing: Free Edition + Commercial Enterprise
region: Europe
review url: https://www.youtube.com/watch
scale note: Enterprise-grade. Handles billions of triples in cluster mode. Free edition limited to single-node
scale tier: large
speed note: Moderate - reasoning overhead slows it vs. pure stores. Good for enterprise workloads with inference
speed tier: moderate
subcategory: Triple Store
supports standard: JSON-LD
supports standard: LDP
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: RDF 1.2
supports standard: SHACL
supports standard: SPARQL 1.1
supports standard: SPARQL 1.2
description: Enterprise RDF graph database by Ontotext with reasoning, SPARQL support, and a visual workbench; free edition available with limited concurrency
manufacturer: Ontotext

Gruff
type: Tool
type: SoftwareApplication
country: USA
first release: 2010
focus area: AllegroGraph integration
focus area: Exploration
focus area: Graph visualization
focus area: Query builder
has benchmark: false
has demo: false
language: Common Lisp
license: Proprietary (Free with AllegroGraph)
logo hint: Gruff AllegroGraph Franz graph visualization
logo url: https://www.google.com/s2/favicons
pricing: Free with AllegroGraph
region: North America
scale note: Visualizes subsets of larger graphs - not designed to render millions of nodes
scale tier: varies
speed note: Desktop visualization tool - performance tied to AllegroGraph backend
speed tier: varies
subcategory: Graph Visualization
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Visual RDF graph browser and query builder by Franz Inc. for exploring and visualizing knowledge graphs stored in AllegroGraph
manufacturer: Franz Inc

HDT (Header-Dictionary-Triples)
type: Framework
type: SoftwareApplication
country: Spain
first release: 2012
focus area: Archival
focus area: Compressed RDF
focus area: Linked Data publishing
focus area: Triple-pattern queries
github: rdfhdt
has benchmark: false
has demo: false
language: C++ / Java
license: LGPL
logo hint: HDT RDF compressed format logo
pricing: Open Source
region: Europe
scale note: Handles billions of triples in compressed form. Read-only - no updates without rebuilding
scale tier: large
speed note: Extremely fast triple-pattern lookups on compressed data. 5-10x smaller than raw Turtle/NT
speed tier: fast
subcategory: C++ / Java Library
supports standard: RDF 1.1
description: Compact binary serialization format for RDF that supports efficient storage and triple-pattern querying without decompression
manufacturer: LITMUS-MAQS

HermiT
type: Tool
type: SoftwareApplication
country: UK
first release: 2008
focus area: Classification
focus area: Consistency checking
focus area: Hypertableau calculus
focus area: OWL 2 reasoning
github: hermit-reasoner
has benchmark: false
has demo: false
language: Java
license: LGPL
logo hint: HermiT OWL reasoner logo
logo url: https://www.google.com/s2/favicons
pricing: Open Source
region: Europe
scale note: In-memory - performs well on complex ontologies but bounded by available RAM
scale tier: small
speed note: Often faster than Pellet for classification. Hypertableau algorithm handles complex ontologies well
speed tier: moderate
subcategory: OWL Reasoner
supports standard: OWL 2
supports standard: RDF 1.1
description: OWL 2 reasoner based on hypertableau calculus with support for classification, DL-safe rules, and SPARQL queries
manufacturer: University of Oxford

JSON-LD Playground
type: Tool
type: SoftwareApplication
country: USA
demo url: https://json-ld.org/playground/
first release: 2012
focus area: Expansion/compaction
focus area: Framing
focus area: JSON-LD testing
focus area: RDF conversion
github: json-ld.org
has benchmark: false
has demo: true
language: JavaScript / Web
license: BSD-3-Clause
logo hint: JSON-LD playground logo
pricing: Free (Web Service)
region: North America
scale note: Testing tool - not for bulk processing
scale tier: small
speed note: Browser-based - instant processing for individual JSON-LD documents
speed tier: varies
subcategory: JSON-LD Editor / Validator
supports standard: JSON-LD
supports standard: RDF 1.1
description: Interactive online tool for testing JSON-LD documents with expansion, compaction, flattening, framing, and RDF conversion
manufacturer: Digital Bazaar

Kolibrie
type: Database
type: SoftwareApplication
country: Belgium
first release: 2024
focus area: Backward chaining
focus area: RDF streaming
focus area: Rule-based reasoning
focus area: SPARQL
github: Kolibrie
has benchmark: false
has demo: false
language: Rust
license: MPL 2.0
logo hint: Kolibrie RDF logo
pricing: Open Source
region: Europe
scale note: Early-stage project. Performance is promising but production-readiness is still developing
scale tier: medium
speed note: Very fast I/O and queries - Rust-based. Among the quickest for parsing and simple SPARQL
speed tier: fast
subcategory: SPARQL Database / RDF Stream Engine
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: SPARQL database, RDF Stream Processing engine, and RDF toolkit with rule-based inference and backward chaining from KU Leuven
manufacturer: KU Leuven

Linked Data Fragments Server
type: Tool
type: SoftwareApplication
country: Belgium
demo url: https://linkeddatafragments.org/
first release: 2014
focus area: Client-side querying
focus area: Decentralized
focus area: Low-cost publishing
focus area: Triple Pattern Fragments
github: Server.js
has benchmark: false
has demo: true
language: JavaScript (Node.js)
license: MIT
logo hint: Linked Data Fragments logo
pricing: Open Source
region: Europe
scale note: Designed for scalable publishing - minimal server load even with many concurrent clients
scale tier: large
speed note: Server is lightweight by design - pushes query work to the client. Low server resource usage
speed tier: moderate
subcategory: Linked Data Server
supports standard: LDP
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Server providing Triple Pattern Fragments for low-cost, scalable Linked Data publishing that distributes query load to clients
manufacturer: Ghent University

MarkLogic
type: Database
type: SoftwareApplication
country: USA
first release: 2001
focus area: Document + RDF
focus area: Enterprise integration
focus area: Full-text search
focus area: Multi-model
focus area: Security
has benchmark: false
has demo: false
language: C++
license: Proprietary (Free Developer Edition)
logo hint: Progress MarkLogic logo
logo url: https://www.google.com/s2/favicons
pricing: Free Developer Edition + Commercial (from ~$20K)
region: North America
scale note: Enterprise-grade clustering. Handles very large datasets across distributed nodes
scale tier: large
speed note: Optimized for mixed document/RDF workloads. SPARQL performance is adequate but not its primary strength
speed tier: moderate
subcategory: Multi-Model Database
supports standard: JSON-LD
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Enterprise NoSQL multi-model database natively storing JSON, XML, and RDF triples with SPARQL, full-text search, and AI features
manufacturer: MarkLogic

Matey
type: Tool
type: SoftwareApplication
country: Belgium
demo url: https://rml.io/yarrrml/matey/
first release: 2019
focus area: Beginner-friendly
focus area: Live preview
focus area: RML export
focus area: YARRRML editing
github: matey
has benchmark: false
has demo: true
language: Web / JavaScript
license: MIT
logo hint: Matey YARRRML editor logo
pricing: Free (Web Service)
region: Europe
scale note: Designed for writing and testing mappings, not production execution
scale tier: small
speed note: Browser-based editor - instant preview for small mappings
speed tier: varies
subcategory: YARRRML Editor
supports standard: R2RML
supports standard: RDF 1.1
supports standard: RML
description: Web-based editor for writing YARRRML mapping rules with live RDF preview and export to RML

MillenniumDB
type: Database
type: SoftwareApplication
country: Chile
first release: 2022
focus area: High-performance
focus area: SPARQL
focus area: Wikidata-scale
github: MillenniumDB
has benchmark: false
has demo: false
language: C++
license: GPL v2
logo hint: MillenniumDB IMFD Chile
pricing: Open Source
region: South America
scale note: Handles Wikidata-scale datasets. Persistent disk-based storage
scale tier: large
speed note: Fast query processing through worst-case optimal joins. Competitive on Wikidata-scale workloads
speed tier: fast
subcategory: Graph Database + RDF
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Open-source graph database from the Millennium Institute (IMFD, Chile) supporting both RDF/SPARQL and property graphs, with worst-case optimal join algorithms
manufacturer: Millennium Institute

Morph-KGC
type: Framework
type: SoftwareApplication
country: Spain
first release: 2021
focus area: Heterogeneous data sources
focus area: Knowledge graph construction
focus area: R2RML/RML
focus area: RDF mapping
focus area: YARRRML
github: morph-kgc
has benchmark: false
has demo: false
language: Python
license: Apache 2.0
logo hint: Morph-KGC knowledge graph logo
pricing: Open Source
region: Europe
scale note: Handles large mapping jobs well. Designed for ETL pipelines, not runtime querying
scale tier: medium
speed note: Good throughput for materialization. Optimized for batch mapping from tabular/JSON/XML sources
speed tier: moderate
subcategory: Python Library (Mapping)
supports standard: CSVW
supports standard: R2RML
supports standard: RDF 1.1
supports standard: RML
description: Engine for constructing RDF knowledge graphs from heterogeneous data sources using R2RML and RML mapping languages with YARRRML support
manufacturer: Morph-KGC

N3.js
type: Framework
type: SoftwareApplication
country: Belgium
first release: 2013
focus area: RDF/JS spec
focus area: RDF parsing
focus area: Streaming parser
focus area: Turtle/N3/N-Quads
github: N3.js
has benchmark: false
has demo: false
language: JavaScript / TypeScript
license: MIT
logo hint: N3.js RDF JavaScript logo
pricing: Open Source
region: Europe
scale note: Streaming design handles large files well. No SPARQL engine - pair with Comunica for queries
scale tier: medium
speed note: Fast for JavaScript - streaming architecture keeps memory low. One of the fastest JS RDF parsers
speed tier: fast
subcategory: JavaScript Library
supports standard: N3
supports standard: RDF 1.1
supports standard: RDF 1.2
description: Lightning-fast, spec-compatible, streaming RDF parser/writer for JavaScript following the RDF/JS specification
manufacturer: Ruben Taelman

Neo4j + n10s
type: Database
type: SoftwareApplication
country: Sweden
demo url: https://neo4j.com/sandbox/
first release: 2007
focus area: Cypher queries
focus area: Graph visualization
focus area: Property graph
focus area: RDF import/export
github: neosemantics
has benchmark: true
has demo: true
language: Java
license: GPL v3 (Community) / Commercial (Enterprise) + Apache 2.0 (n10s)
logo hint: Neo4j logo
pricing: Free Community + Commercial Enterprise
region: North America
review url: https://www.youtube.com/watch
scale note: Neo4j itself scales very well. The RDF layer (n10s) adds import overhead but queries run at native speed
scale tier: large
speed note: Fast native graph queries via Cypher. RDF import has overhead from property graph conversion
speed tier: fast
subcategory: Graph Database + RDF Plugin
supports standard: JSON-LD
supports standard: RDF 1.1
supports standard: SHACL
warning: Not a semantic graph database - Neo4j is a property graph. RDF triples are converted to labeled property graph structures on import, losing native RDF semantics. No SPARQL support, no OWL reasoning, no semantic inferencing. Consider a native triple store if your use case requires semantic knowledge graphs.
description: Property graph database with the neosemantics (n10s) plugin for RDF import/export, SHACL validation, and ontology mapping
manufacturer: Neo4j

OOPS!
type: Tool
type: SoftwareApplication
country: Spain
demo url: https://oops.linkeddata.es/
first release: 2012
focus area: Best practices
focus area: Modeling errors
focus area: Ontology quality
focus area: Pitfall detection
github: OOPS
has benchmark: false
has demo: true
language: Java / Web
license: Open Source
logo hint: OOPS ontology pitfall scanner logo
pricing: Free (Web Service)
region: Europe
scale note: Designed for ontology auditing, not data-scale operations
scale tier: small
speed note: Web service - analysis typically completes in seconds for normal ontologies
speed tier: varies
subcategory: Ontology Validator
supports standard: OWL 2
supports standard: RDF 1.1
description: Web-based ontology pitfall scanner that detects common modeling errors and quality issues in OWL/RDF ontologies
manufacturer: OEG-UPM

Ontop
type: Database
type: SoftwareApplication
country: Italy
first release: 2009
focus area: No data duplication
focus area: R2RML mappings
focus area: SPARQL-to-SQL
focus area: Virtual knowledge graph
github: ontop
has benchmark: false
has demo: false
language: Java
license: Apache 2.0
logo hint: Ontop VKG logo
pricing: Open Source
region: Europe
scale note: Scales with the relational database underneath - no data duplication, no separate RDF storage needed
scale tier: large
speed note: Query speed depends on the underlying SQL database. Translation overhead is minimal for simple queries
speed tier: varies
subcategory: Virtual Knowledge Graph / OBDA
supports standard: JSON-LD
supports standard: OWL 2
supports standard: R2RML
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Open-source Virtual Knowledge Graph system that translates SPARQL queries to SQL over relational databases using R2RML mappings
manufacturer: Free University of Bozen-Bolzano

Ontopic Studio
type: Tool
type: SoftwareApplication
country: Italy
demo url: https://ontopic.ai/en/ontopic-studio/
first release: 2020
focus area: Database integration
focus area: Low-code
focus area: R2RML mapping
focus area: Virtual knowledge graphs
has benchmark: false
has demo: true
language: Java / Web
license: Commercial (Free Academic)
logo hint: Ontopic Studio logo
logo url: https://www.google.com/s2/favicons
pricing: Commercial + Free Academic License
region: Europe
review url: https://www.youtube.com/watch
scale note: Scales with the relational source - no separate RDF storage
scale tier: large
speed note: Visual mapping tool - performance depends on the underlying database and Ontop engine
speed tier: varies
subcategory: Knowledge Graph Builder / Mapping
supports standard: OWL 2
supports standard: R2RML
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Low-code GUI for designing R2RML-compliant mappings for virtual and materialized RDF graphs from relational databases
manufacturer: Ontopic

Oracle RDF Graph
type: Database
type: SoftwareApplication
country: USA
first release: 2005
focus area: Enterprise integration
focus area: OWL reasoning
focus area: SHACL validation
focus area: SPARQL
focus area: SQL/RDF hybrid queries
focus area: Triple store
has benchmark: false
has demo: false
language: SQL / Java
license: Commercial (Oracle Database license)
logo hint: oracle
logo url: https://www.google.com/s2/favicons
pricing: Commercial (per-processor or named-user-plus)
region: North America
scale note: Inherits Oracle Database scalability - handles billions of triples in production. RAC clustering for horizontal scaling
scale tier: large
speed note: Backed by Oracle Database query optimizer; benefits from mature indexing and parallel execution on large datasets
speed tier: fast
subcategory: Triple Store (embedded in RDBMS)
supports standard: JSON-LD
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SPARQL 1.1
description: Native RDF graph support built into Oracle Database, storing triples as relational data with full SPARQL 1.1 query/update, RDFS/OWL 2 EL inference, and SHACL validation via an RDF4J adapter. Available on-premise and on Oracle Cloud.
manufacturer: Oracle

Owlready2
type: Framework
type: SoftwareApplication
country: France
first release: 2017
focus area: HermiT/Pellet
focus area: OWL ontologies
focus area: Python-native
focus area: Reasoning
focus area: SQLite backend
github: owlready2
has benchmark: false
has demo: false
language: Python
license: LGPL v3
logo hint: Owlready2 Python OWL logo
logo url: https://www.google.com/s2/favicons
pricing: Open Source
region: Europe
scale note: SQLite backend helps with larger ontologies but still limited by Python performance
scale tier: small
speed note: Slow for RDF I/O but convenient for ontology work. Automatic reasoning via HermiT/Pellet
speed tier: slow
subcategory: Python Library
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Python module for ontology-oriented programming with transparent access to OWL ontologies, automatic reasoning via HermiT/Pellet
manufacturer: Owlready2

Oxigraph
type: Database
type: SoftwareApplication
country: France
first release: 2020
focus area: Embedded database
focus area: Python/JS bindings
focus area: RDF storage
focus area: SPARQL 1.1
github: oxigraph
has benchmark: true
has demo: true
language: Rust
license: Apache 2.0 / MIT
logo hint: Oxigraph logo
pricing: Open Source
region: Europe
scale note: Disk-backed via RocksDB, handles tens of millions of triples well. Not designed for billion-triple scale
scale tier: large
speed note: Good read/write performance from Rust + RocksDB. Mid-pack on SPARQL queries - solid but not the fastest
speed tier: fast
subcategory: Triple Store
supports standard: RDF 1.1
supports standard: RDF 1.2
supports standard: SPARQL 1.1
supports standard: SPARQL 1.2
description: SPARQL graph database written in Rust, available as embedded library, standalone server, and Python/JS bindings
manufacturer: Oxigraph

Oxigraph Server
type: Database
type: SoftwareApplication
country: France
first release: 2020
focus area: Docker-ready
focus area: HTTP endpoint
focus area: Lightweight
focus area: SPARQL server
github: oxigraph
has benchmark: false
has demo: false
language: Rust
license: Apache 2.0 / MIT
logo hint: Oxigraph server logo
pricing: Open Source
region: Europe
scale note: Single-node only. Good for millions of triples, not designed for distributed scale
scale tier: large
speed note: Same Rust engine as Oxigraph library, with minimal HTTP overhead. Good for small to medium deployments
speed tier: fast
subcategory: Standalone SPARQL Server
supports standard: RDF 1.1
supports standard: RDF 1.2
supports standard: SPARQL 1.1
supports standard: SPARQL 1.2
description: Standalone SPARQL server built on Oxigraph with HTTP endpoint, Graph Store Protocol support, and built-in YASGUI interface
manufacturer: Oxigraph

Pellet / Openllet
type: Tool
type: SoftwareApplication
country: USA
first release: 2003
focus area: Classification
focus area: Consistency checking
focus area: Explanation
focus area: OWL 2 DL reasoning
github: openllet
has benchmark: false
has demo: false
language: Java
license: AGPL v3 / Commercial
logo hint: Pellet Openllet OWL reasoner logo
logo url: https://www.google.com/s2/favicons
pricing: Open Source (AGPL) + Commercial
region: North America
scale note: In-memory reasoning - bounded by ontology complexity more than triple count
scale tier: small
speed note: Comprehensive reasoner but can be slow on large, complex ontologies. Explanation support is unique
speed tier: slow
subcategory: OWL Reasoner
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SPARQL 1.1
description: OWL 2 DL reasoner supporting consistency checking, classification, explanation of inferences, and SPARQL-DL queries
manufacturer: Clark & Parsia

PoolParty
type: Tool
type: SoftwareApplication
country: Austria
demo url: https://www.poolparty.biz/
first release: 2009
focus area: Enterprise semantic AI
focus area: Knowledge modeling
focus area: Taxonomy management
focus area: Text mining
has benchmark: false
has demo: true
language: Java / Web
license: Commercial
logo hint: PoolParty Semantic Web Company logo
logo url: https://www.google.com/s2/favicons
pricing: Commercial (from ~$21K/year)
region: Europe
review url: https://www.youtube.com/watch
scale note: Cloud-native enterprise platform. Handles large organizational taxonomies and content volumes
scale tier: large
speed note: Enterprise platform - optimized for taxonomy workflows, NLP enrichment, and content classification
speed tier: varies
subcategory: Taxonomy / Knowledge Management
supports standard: JSON-LD
supports standard: LDP
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SKOS
supports standard: SPARQL 1.1
description: Enterprise semantic suite for taxonomy, thesaurus, and ontology management with text mining, linked data publishing, and knowledge modeling
manufacturer: Semantic Web Company

Protege
type: Tool
type: SoftwareApplication
country: USA
demo url: https://webprotege.stanford.edu/
first release: 1999
focus area: OWL 2
focus area: Ontology editing
focus area: Plugin ecosystem
focus area: Reasoning
focus area: Visualization
github: protege
has benchmark: false
has demo: true
language: Java
license: BSD 2-Clause
logo hint: Protege Stanford ontology editor logo
pricing: Open Source
region: North America
scale note: Designed for ontology engineering, not large-scale data processing
scale tier: small
speed note: Desktop app - responsive for typical ontologies. Can slow down on very large ontologies (>100K axioms)
speed tier: varies
subcategory: Ontology Editor
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SKOS
description: Leading open-source ontology editor from Stanford University with full OWL 2 support, reasoning, and extensive plugin ecosystem
manufacturer: Stanford University

QLever
type: Database
type: SoftwareApplication
country: Germany
demo url: https://qlever.cs.uni-freiburg.de/
first release: 2017
focus area: Full-text search
focus area: Large-scale querying
focus area: SPARQL
focus area: Wikidata-scale
github: qlever
has benchmark: true
has demo: true
language: C++
license: Apache 2.0
logo hint: QLever SPARQL logo University Freiburg
pricing: Open Source
region: Europe
scale note: Designed for billions of triples. Handles full Wikidata (~18B triples) on a single machine
scale tier: large
speed note: Exceptionally fast SPARQL - often the fastest in benchmarks, especially on complex queries at scale
speed tier: fast
subcategory: SPARQL Engine
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: High-performance SPARQL engine from University of Freiburg, capable of handling hundreds of billions of triples on a single machine
manufacturer: University

Qendpoint
type: Database
type: SoftwareApplication
country: France
first release: 2022
focus area: Compressed RDF
focus area: Full-text search
focus area: GeoSPARQL
focus area: Wikidata-scale
github: qEndpoint
has benchmark: false
has demo: false
language: Java
license: GPL v3
logo hint: Qendpoint QA Company logo
pricing: Open Source
region: Europe
scale note: Indexes 17B+ triples (full Wikidata) on a single machine with 10GB RAM and 600GB SSD
scale tier: large
speed note: Optimized for large-scale read-heavy workloads. HDT-based partition delivers fast query execution
speed tier: fast
subcategory: Triple Store / SPARQL Engine
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Highly scalable triple store using HDT for read-optimized storage with a write partition based on RDF4J. Can index and query the entire Wikidata dump on commodity hardware
manufacturer: Qendpoint

RDF4J Workbench
type: Tool
type: SoftwareApplication
country: Netherlands
first release: 2015
focus area: Data exploration
focus area: RDF4J administration
focus area: Repository management
focus area: SPARQL queries
github: rdf4j
has benchmark: false
has demo: false
language: Java / Web
license: Eclipse Public License 2.0
logo hint: RDF4J Workbench Eclipse logo
pricing: Open Source
region: Europe
scale note: Admin tool - scales with the underlying RDF4J server
scale tier: varies
speed note: Web UI - query performance depends on the RDF4J repository backend
speed tier: varies
subcategory: SPARQL Workbench
supports standard: JSON-LD
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Web-based administration and query interface for Eclipse RDF4J Server with repository management, SPARQL queries, and data exploration
manufacturer: Eclipse Foundation

RDFSharp
type: Framework
type: SoftwareApplication
country: Italy
first release: 2015
focus area: .NET ecosystem
focus area: RDF modeling
focus area: SHACL validation
focus area: SKOS
focus area: SPARQL
github: RDFSharp
has benchmark: false
has demo: false
language: C#
license: Apache 2.0
logo hint: RDFSharp .NET logo
logo url: https://www.google.com/s2/favicons
pricing: Open Source
region: Europe
scale note: In-memory graph - suitable for small to moderate datasets
scale tier: medium
speed note: Moderate .NET performance. Lighter weight than dotNetRDF with simpler API
speed tier: moderate
subcategory: C# / .NET Library
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SPARQL 1.1
description: Lightweight .NET library for Semantic Web applications supporting RDF modeling, SPARQL querying, SHACL validation, and SKOS
manufacturer: RDFSharp

RDFox
type: Database
type: SoftwareApplication
country: UK
first release: 2013
focus area: Datalog
focus area: High-performance
focus area: In-memory reasoning
focus area: Incremental materialization
has benchmark: false
has demo: false
language: C++
license: Commercial (Academic license available)
logo hint: RDFox Oxford Semantic Technologies logo
logo url: https://www.google.com/s2/favicons
pricing: Commercial + Free Academic License
region: Europe
review url: https://www.youtube.com/watch
scale note: In-memory, so bounded by RAM. Designed for high-performance reasoning, not raw storage scale
scale tier: medium
speed note: Extremely fast - among the fastest triple stores for both loading and querying with reasoning
speed tier: fast
subcategory: In-Memory Triple Store / Reasoner
supports standard: Datalog
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: RDF 1.2
supports standard: SHACL
supports standard: SPARQL 1.1
supports standard: SPARQL 1.2
description: High-performance in-memory knowledge graph by Oxford Semantic Technologies (Samsung) with incremental reasoning and Datalog support
manufacturer: Oxford Semantic Technologies

RMLMapper
type: Tool
type: SoftwareApplication
country: Belgium
first release: 2014
focus area: CSV/JSON/XML to RDF
focus area: Data transformation
focus area: R2RML compatible
focus area: RML mapping
github: rmlmapper-java
has benchmark: false
has demo: false
language: Java
license: MIT
logo hint: RMLMapper RML.io logo
pricing: Open Source
region: Europe
scale note: Handles moderate-sized mapping jobs. For very large sources, consider streaming alternatives
scale tier: medium
speed note: Moderate throughput for mapping. Java-based with room for optimization on large sources
speed tier: moderate
subcategory: RDF Mapping Tool
supports standard: R2RML
supports standard: RDF 1.1
supports standard: RML
description: Reference implementation of the RML specification for generating RDF from heterogeneous data sources (CSV, JSON, XML, databases)
manufacturer: RML.io

Raptor
type: Framework
type: SoftwareApplication
country: UK
first release: 2001
focus area: N-Triples
focus area: RDF/XML
focus area: RDF parsing
focus area: Serialization
focus area: Turtle
github: raptor
has benchmark: false
has demo: false
language: C
license: Apache 2.0 / LGPL / GPL
logo hint: Raptor RDF parser logo
logo url: https://www.google.com/s2/favicons
pricing: Open Source
region: Europe
scale note: Streaming parser with constant memory usage. Handles arbitrarily large files
scale tier: medium
speed note: Fast C parser - still one of the quickest for RDF/XML. Battle-tested in production since the 2000s
speed tier: fast
subcategory: C Library (Parser)
supports standard: RDF 1.1
description: RDF Parser Toolkit for C providing parsers and serializers for RDF/XML, N-Triples, Turtle, RSS, Atom, and other formats
manufacturer: Dave Beckett

Redland (librdf)
type: Framework
type: SoftwareApplication
country: UK
first release: 2000
focus area: C library
focus area: Language bindings
focus area: Multiple storage backends
focus area: RDF API
github: librdf
has benchmark: false
has demo: false
language: C
license: Apache 2.0 / LGPL / GPL
logo hint: Redland librdf RDF logo
logo url: https://www.google.com/s2/favicons
pricing: Open Source
region: Europe
scale note: Multiple storage backends (BDB, MySQL, PostgreSQL) offer different scale characteristics
scale tier: medium
speed note: Native C performance for parsing - historically fast. Showing its age vs. modern Rust alternatives
speed tier: fast
subcategory: C Library
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Modular C libraries providing RDF graph API (librdf), parser/serializer (Raptor), and SPARQL query engine (Rasqal) with bindings for many languages
manufacturer: Dave Beckett

SAP HANA Cloud KGE
type: Database
type: SoftwareApplication
country: Germany
first release: 2025
focus area: Enterprise ERP integration
focus area: In-database processing
focus area: OWL reasoning
focus area: SHACL validation
focus area: SPARQL
focus area: Triple store
has benchmark: false
has demo: false
language: SQL / Java
license: Commercial (SAP HANA Cloud subscription)
logo hint: sap
logo url: https://www.google.com/s2/favicons
pricing: Commercial (consumption-based cloud pricing)
region: Europe
scale note: Cloud-native with SAP HANA Cloud scaling. Aimed at enterprise datasets integrated with SAP business data
scale tier: large
speed note: Runs inside HANA's in-memory columnar engine; designed for fast analytical and graph queries at enterprise scale
speed tier: fast
subcategory: Knowledge Graph Engine (in-database)
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SPARQL 1.1
description: RDF triple store and SPARQL engine built into SAP HANA Cloud, with RDFS/OWL reasoning and SHACL validation. Launched in 2025 as part of SAP's push into enterprise knowledge graphs.
manufacturer: SAP

SHACL Play
type: Tool
type: SoftwareApplication
country: France
demo url: https://shacl-play.sparna.fr/play/
first release: 2020
focus area: Documentation generation
focus area: SHACL validation
focus area: Shape debugging
focus area: UML diagrams
github: shacl-play
has benchmark: false
has demo: true
language: Java
license: Open Source
logo hint: SHACL Play Sparna logo
logo url: https://www.google.com/s2/favicons
pricing: Free (Web Service)
region: Europe
scale note: Designed for interactive use, not bulk processing
scale tier: small
speed note: Web-based tool - validates and generates documentation quickly for typical ontology sizes
speed tier: varies
subcategory: SHACL Validator / Documentation
supports standard: RDF 1.1
supports standard: SHACL
description: Free online SHACL toolkit by Sparna for validation, documentation generation, UML diagram generation, and SHACL profile derivation from RDF data
manufacturer: Sparna

SHACL Playground
type: Tool
type: SoftwareApplication
country: Germany
demo url: https://shacl.org/playground/
first release: 2020
focus area: Interactive testing
focus area: SHACL validation
focus area: Shape debugging
has benchmark: false
has demo: true
language: JavaScript / Web
license: Open Source
logo hint: SHACL playground validator logo
logo url: https://www.google.com/s2/favicons
pricing: Free (Web Service)
region: Europe
scale note: Designed for testing, not production validation
scale tier: small
speed note: Browser-based - instant validation for small shapes and data graphs
speed tier: varies
subcategory: SHACL Validator
supports standard: RDF 1.1
supports standard: SHACL
description: Online interactive tool for testing and validating SHACL shapes against RDF data graphs directly in the browser
manufacturer: Sparna

Sophia
type: Framework
type: SoftwareApplication
country: France
first release: 2019
focus area: Generic API
focus area: RDF 1.2
focus area: Rust toolkit
focus area: Type-safe graph operations
github: sophia rs
has benchmark: false
has demo: false
language: Rust
license: Apache 2.0 / MIT
logo hint: Sophia Rust RDF logo
logo url: https://www.google.com/s2/favicons
pricing: Open Source
region: Europe
scale note: In-memory by default. Good for moderate datasets where type safety and API design matter
scale tier: medium
speed note: Rust performance for parsing and graph operations. Less mature than Oxigraph but promising
speed tier: fast
subcategory: Rust Library
supports standard: RDF 1.1
description: Rust toolkit for RDF 1.2 and Linked Data providing a generic API with traits for graphs, datasets, parsers, and serializers
manufacturer: Sophia

SousLeSens
type: Tool
type: SoftwareApplication
country: France
first release: 2020
focus area: Graph visualization
focus area: Knowledge graph construction
focus area: Low-code
focus area: SKOS management
github: souslesensVocables
has benchmark: false
has demo: false
language: JavaScript (Node.js)
license: MIT
logo hint: SousLeSens Vocables logo
pricing: Open Source
region: Europe
scale note: Designed for industrial ontology management. Scales with the backing triple store
scale tier: medium
speed note: Web-based tool for ontology management and KG construction workflows
speed tier: varies
subcategory: Ontology Editor / KG Builder
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SKOS
supports standard: SPARQL 1.1
description: Open-source suite for managing thesauri and ontologies (SKOS, OWL, RDF) with graph visualization, knowledge graph construction from tabular data, and a no-code visual interface

Stardog
type: Database
type: SoftwareApplication
country: USA
demo url: https://www.stardog.com/studio/
first release: 2010
focus area: Enterprise AI
focus area: GraphQL
focus area: Knowledge graph platform
focus area: OWL reasoning
focus area: Virtual graphs
has benchmark: false
has demo: true
language: Java
license: Commercial (Free tier available)
logo hint: Stardog knowledge graph logo
logo url: https://www.google.com/s2/favicons
pricing: Stardog Free (1-year renewable license) + Commercial Enterprise
region: North America
review url: https://www.youtube.com/watch
scale note: Enterprise-proven, handles billions of triples in cluster deployments
scale tier: large
speed note: Good query performance with reasoning enabled. Virtual graph feature avoids data duplication
speed tier: moderate
subcategory: Knowledge Graph Platform
supports standard: JSON-LD
supports standard: LDP
supports standard: OWL 2
supports standard: R2RML
supports standard: RDF 1.1
supports standard: RDF 1.2
supports standard: SHACL
supports standard: SKOS
supports standard: SPARQL 1.1
supports standard: SPARQL 1.2
description: Enterprise knowledge graph platform combining graph database with AI toolkit, supporting SPARQL, GraphQL, and OWL reasoning
manufacturer: Stardog Union

Tentris
type: Database
type: SoftwareApplication
country: Germany
first release: 2019
focus area: SPARQL
focus area: Tensor-based indexing
focus area: Triple store
focus area: Worst-case optimal joins
github: tentris
has benchmark: false
has demo: false
language: C++
license: Research License / Commercial
logo hint: dice-group
pricing: Free (research) + Commercial
region: Europe
scale note: Disk-based with persistent indexing; designed for large-scale RDF datasets
scale tier: large
speed note: Very fast SPARQL processing through tensor-based storage and worst-case optimal join algorithms
speed tier: fast
subcategory: Triple Store / SPARQL Engine
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: High-performance tensor-based RDF triple store from the DICE research group (Paderborn University) using worst-case optimal joins for fast SPARQL query processing.
manufacturer: DICE Research

Timbr
type: Database
type: SoftwareApplication
country: Israel
first release: 2018
focus area: Data integration
focus area: Data virtualization
focus area: Enterprise
focus area: Semantic layer
has benchmark: false
has demo: false
language: Managed Service
license: Commercial (SaaS)
logo hint: Timbr.ai SQL knowledge graph logo
logo url: https://www.google.com/s2/favicons
pricing: Commercial (contact for pricing)
region: Middle East
scale note: Inherits scale from the backing data platform. No data duplication needed
scale tier: large
speed note: Queries run against the underlying data platform (Snowflake, Spark, etc.) with ontological reasoning added on top
speed tier: varies
subcategory: Virtual Knowledge Graph / SQL Semantic Layer
supports standard: OWL 2
description: SQL-based ontology semantic layer that models knowledge graphs over existing databases (Snowflake, Databricks, Spark, etc.) using OWL ontologies, queryable via standard SQL
manufacturer: Timbr.AI

Titanium JSON-LD
type: Framework
type: SoftwareApplication
country: Czech Republic
first release: 2020
focus area: Expansion/compaction/framing
focus area: JSON-LD 1.1
focus area: Java processing
github: titanium-json-ld
has benchmark: false
has demo: false
language: Java
license: Apache 2.0
logo hint: Titanium JSON-LD Java logo
logo url: https://www.google.com/s2/favicons
pricing: Open Source
region: Europe
scale note: Document-level processing - not a bulk data tool
scale tier: medium
speed note: Fast Java JSON-LD processing. Focused and optimized for the JSON-LD spec
speed tier: fast
subcategory: Java Library
supports standard: JSON-LD
supports standard: RDF 1.1
description: JSON-LD 1.1 processor and API for Java supporting expansion, compaction, flattening, framing, and RDF conversion
manufacturer: Digital Bazaar

TopBraid Composer
type: Tool
type: SoftwareApplication
country: USA
first release: 2006
focus area: Enterprise modeling
focus area: Ontology IDE
focus area: SHACL
focus area: SPARQL editing
has benchmark: false
has demo: false
language: Java (Eclipse-based)
license: Commercial (Free Maestro Edition)
logo hint: TopBraid Composer TopQuadrant logo
logo url: https://www.google.com/s2/favicons
pricing: Free Maestro Edition + Commercial
region: North America
scale note: Desktop tool - suited for ontology engineering, not large-scale data processing
scale tier: medium
speed note: Full-featured IDE with good performance for modeling tasks
speed tier: varies
subcategory: Ontology IDE
supports standard: JSON-LD
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SKOS
supports standard: SPARQL 1.1
description: Enterprise-class IDE for RDFS/OWL modeling, SHACL validation, SPARQL editing, and semantic application development by TopQuadrant
manufacturer: TopQuadrant

TopBraid EDG
type: Tool
type: SoftwareApplication
country: USA
first release: 2010
focus area: Business glossaries
focus area: Data governance
focus area: Enterprise
focus area: Metadata management
focus area: Vocabularies
has benchmark: false
has demo: false
language: Java / Web
license: Commercial
logo hint: TopBraid EDG TopQuadrant logo
logo url: https://www.google.com/s2/favicons
pricing: Commercial (contact for pricing)
region: North America
review url: https://www.youtube.com/watch
scale note: Enterprise-grade with support for large organizational vocabularies and metadata
scale tier: large
speed note: Enterprise platform - performance tuned for governance workflows, not raw RDF processing
speed tier: varies
subcategory: Data Governance Platform
supports standard: JSON-LD
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SKOS
supports standard: SPARQL 1.1
description: Enterprise data governance platform built on RDF knowledge graphs for metadata, vocabulary, reference data, and business glossary management
manufacturer: TopQuadrant

TopBraid SHACL API
type: Framework
type: SoftwareApplication
country: USA
first release: 2017
focus area: Java API
focus area: Jena integration
focus area: SHACL rules
focus area: SHACL validation
github: shacl
has benchmark: false
has demo: false
language: Java
license: Apache 2.0
logo hint: TopBraid SHACL API logo
pricing: Open Source
region: North America
scale note: Scales with Jena - suitable for production validation workloads
scale tier: medium
speed note: Good Java performance for validation. Efficient for programmatic SHACL checking in pipelines
speed tier: fast
subcategory: Java Library (Validator)
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SPARQL 1.1
description: Open-source Java SHACL implementation based on Apache Jena for constraint checking and rule-based inference
manufacturer: TopQuadrant

TriplyDB
type: Tool
type: SoftwareApplication
country: Netherlands
demo url: https://triplydb.com/
first release: 2017
focus area: Data publishing
focus area: Enterprise
focus area: Linked Data publishing
focus area: SPARQL server
has benchmark: false
has demo: true
language: TypeScript / Web
license: Commercial
logo hint: TriplyDB Triply logo
logo url: https://www.google.com/s2/favicons
pricing: Commercial (contact for pricing)
region: Europe
scale note: Enterprise-grade. Handles the largest government linked data deployment in the Netherlands
scale tier: large
speed note: Optimized for linked data serving with SPARQL, REST, and ElasticSearch-based text search
speed tier: fast
subcategory: Linked Data Platform
supports standard: JSON-LD
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SKOS
supports standard: SPARQL 1.1
description: Commercial linked data platform for knowledge graph hosting, SPARQL endpoints, API publishing, and data management. Powers the Dutch Land Registry (Kadaster) linked data infrastructure
manufacturer: Triply

Turtle Web Editor
type: Tool
type: SoftwareApplication
country: Germany
demo url: https://felixlohmeier.github.io/turtle-web-editor/
first release: 2019
focus area: Prefix autocompletion
focus area: Syntax highlighting
focus area: Turtle editing
focus area: Validation
github: turtle-web-editor
has benchmark: false
has demo: true
language: JavaScript / Web
license: MIT
logo hint: Turtle web editor RDF logo
logo url: https://www.google.com/s2/favicons
pricing: Free (Web Service)
region: Europe
scale note: Designed for editing, not processing large files
scale tier: small
speed note: Browser-based editor - responsive for typical Turtle files
speed tier: varies
subcategory: RDF Editor
supports standard: RDF 1.1
description: Browser-based Turtle syntax editor with syntax highlighting, validation, and prefix autocompletion for writing RDF
manufacturer: Independent

Virtuoso
type: Database
type: SoftwareApplication
country: USA
first release: 1998
focus area: Linked Data publishing
focus area: Multi-model
focus area: SPARQL 1.1
focus area: SQL + SPARQL hybrid
github: virtuoso-opensource
has benchmark: true
has demo: false
language: C
license: GPL v2 (Open Source) / Commercial
logo hint: OpenLink Virtuoso logo
pricing: Open Source + Commercial
region: North America
scale note: Battle-tested at scale - powers DBpedia and many LOD endpoints. Handles billions of triples
scale tier: large
speed note: Fast ingestion and good query performance. Column store architecture helps analytical queries
speed tier: fast
subcategory: Triple Store / Multi-Model
supports standard: JSON-LD
supports standard: LDP
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: High-performance multi-model RDBMS, data integration middleware, and linked data deployment platform by OpenLink Software
manufacturer: OpenLink Software

W3C RDF Validator
type: Tool
type: SoftwareApplication
country: Global
demo url: https://www.w3.org/RDF/Validator/
first release: 2001
focus area: Graph visualization
focus area: RDF/XML validation
focus area: Triple listing
has benchmark: false
has demo: true
language: Web
license: Free (Web Service)
logo hint: W3C RDF validator logo
logo url: https://www.google.com/s2/favicons
pricing: Free
region: Global
scale note: Testing tool - paste or URL input only
scale tier: small
speed note: Simple web service - validates small RDF/XML documents quickly
speed tier: varies
subcategory: RDF Validator
supports standard: RDF 1.1
description: Official W3C service for checking and visualizing RDF/XML documents, generating triple listings and graph diagrams
manufacturer: W3C

WebProtege
type: Tool
type: SoftwareApplication
country: USA
demo url: https://webprotege.stanford.edu/
first release: 2013
focus area: Change tracking
focus area: Collaborative editing
focus area: Discussion threads
focus area: Web-based
github: webprotege
has benchmark: false
has demo: true
language: Java / Web
license: BSD 2-Clause
logo hint: WebProtege Stanford logo
pricing: Open Source / Free hosted
region: North America
scale note: Designed for collaborative ontology development, not large data
scale tier: small
speed note: Web-based - responsive for normal-sized ontologies. Simpler than desktop Protege
speed tier: varies
subcategory: Collaborative Ontology Editor
supports standard: OWL 2
supports standard: RDF 1.1
description: Web-based collaborative ontology editor from Stanford with sharing, discussion threads, change tracking, and revision history
manufacturer: Stanford

WebVOWL
type: Tool
type: SoftwareApplication
country: Germany
demo url: https://service.tib.eu/webvowl/
first release: 2014
focus area: Force-directed layout
focus area: Interactive
focus area: Ontology visualization
focus area: VOWL notation
github: WebVOWL
has benchmark: false
has demo: true
language: JavaScript
license: MIT
logo hint: WebVOWL ontology visualization logo
pricing: Open Source
region: Europe
scale note: Browser-based visualization - best for ontologies under a few hundred classes
scale tier: small
speed note: Responsive for small-to-medium ontologies. Force-directed layout slows with many classes (>500)
speed tier: varies
subcategory: Ontology Visualization
supports standard: OWL 2
supports standard: RDF 1.1
description: Web application for interactive visualization of ontologies using the VOWL notation with force-directed graph layout
manufacturer: University of Mannheim

YASGUI
type: Tool
type: SoftwareApplication
country: Netherlands
demo url: https://yasgui.triply.cc/
first release: 2013
focus area: Autocomplete
focus area: Embeddable
focus area: Result visualization
focus area: SPARQL editor
github: Yasgui
has benchmark: false
has demo: true
language: TypeScript
license: MIT
logo hint: YASGUI SPARQL editor Triply logo
pricing: Open Source
region: Europe
scale note: Client-side tool - no data storage
scale tier: varies
speed note: Browser-based editor - query speed depends entirely on the SPARQL endpoint, not YASGUI itself
speed tier: varies
subcategory: SPARQL Editor
supports standard: SPARQL 1.1
description: Popular web-based SPARQL query editor and result visualizer with syntax highlighting, autocompletion, and multiple output formats
manufacturer: Triply

Zazuko Ontology Editor
type: Tool
type: SoftwareApplication
country: Switzerland
demo url: https://editor.zazuko.com/
first release: 2020
focus area: Collaborative editing
focus area: GitHub-backed
focus area: Turtle output
focus area: Version control
has benchmark: false
has demo: true
language: Web / GitHub-based
license: Commercial / Open Source
logo hint: Zazuko ontology editor logo
logo url: https://www.google.com/s2/favicons
pricing: Free (hosted)
region: Europe
scale note: Designed for ontology editing, not data processing
scale tier: small
speed note: Web-based editor - responsive for typical ontologies
speed tier: varies
subcategory: Ontology Editor
supports standard: RDF 1.1
supports standard: SHACL
description: Web-based collaborative ontology editor backed by GitHub for version control, producing Turtle format ontology definitions
manufacturer: GitHub

Zazuko Trifid
type: Tool
type: SoftwareApplication
country: Switzerland
first release: 2016
focus area: Content negotiation
focus area: Linked Data publishing
focus area: SPARQL proxy
focus area: URI dereferencing
github: trifid
has benchmark: false
has demo: false
language: JavaScript (Node.js)
license: Apache 2.0
logo hint: Zazuko Trifid linked data logo
pricing: Open Source
region: Europe
scale note: Proxy architecture - scales with the backing triple store
scale tier: medium
speed note: Lightweight Node.js server - fast for serving individual resources. Proxies to backend SPARQL store
speed tier: moderate
subcategory: Linked Data Server
supports standard: JSON-LD
supports standard: LDP
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Lightweight Linked Data server and proxy for dereferencing URIs over HTTP with built-in SPARQL proxy, YASGUI, and graph explorer
manufacturer: Zazuko

dotNetRDF
type: Framework
type: SoftwareApplication
country: UK
first release: 2009
focus area: .NET ecosystem
focus area: RDF API
focus area: SPARQL
focus area: Triple store connectors
github: dotnetrdf
has benchmark: true
has demo: false
language: C#
license: MIT
logo hint: dotNetRDF logo
pricing: Open Source
region: Europe
scale note: In-memory store struggles above ~5M triples. Best as a client library connecting to external stores
scale tier: small
speed note: Moderate for .NET - pure managed code. I/O is reasonable but SPARQL is slower than Java alternatives
speed tier: moderate
subcategory: C# / .NET Library
supports standard: JSON-LD
supports standard: LDP
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Complete .NET library for parsing, managing, querying, and writing RDF, with SPARQL support and connectors to major triple stores
manufacturer: dotNetRDF

gdotv
type: Tool
type: SoftwareApplication
country: UK
first release: 2021
flag: 🇬🇧
focus area: Cypher queries
focus area: Graph visualization
focus area: Gremlin
focus area: Multi-database IDE
focus area: SPARQL editor
has benchmark: false
has demo: false
language: TypeScript / Electron
license: Commercial (Free Lite tier)
logo hint: gdotv graph database IDE logo
logo url: https://www.google.com/s2/favicons
pricing: Free Lite + Commercial Pro
region: Europe
scale note: Client-side tool for exploration and querying. Visualization handles moderate graph sizes
scale tier: varies
speed note: Desktop IDE - query speed depends on the connected database backend
speed tier: varies
subcategory: Graph Visualization / IDE
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Multi-database graph IDE supporting SPARQL, Cypher, and Gremlin with visual query building, graph exploration, and schema visualization. Connects to Fuseki, Virtuoso, QLever, Neptune, and more
manufacturer: gdotv

graphy.js
type: Framework
type: SoftwareApplication
country: USA
first release: 2017
focus area: RDF parsing
focus area: Streaming I/O
focus area: Turtle/N-Triples/N-Quads/TriG
github: graphy.js
has benchmark: false
has demo: false
language: JavaScript
license: ISC
logo hint: graphy.js JavaScript RDF logo
logo url: https://www.google.com/s2/favicons
pricing: Open Source
region: North America
scale note: Streaming architecture handles arbitrarily large files. Parser only - no query engine
scale tier: medium
speed note: High-performance streaming parser for JavaScript. Claims fastest JS RDF throughput
speed tier: fast
subcategory: JavaScript Library
supports standard: N3
supports standard: RDF 1.1
description: High-performance collection of RDF libraries for JavaScript with streaming parsers/writers for Turtle, N-Triples, N-Quads, and TriG
manufacturer: Graphy.js

isSemantic RDF Visualizer
type: Tool
type: SoftwareApplication
country: Germany
demo url: https://issemantic.net/rdf-visualizer
first release: 2021
focus area: Format conversion
focus area: RDF-star support
focus area: RDF visualization
focus area: Validation
has benchmark: false
has demo: true
language: Web
license: Free (Web Service)
logo hint: isSemantic RDF visualizer logo
logo url: https://www.google.com/s2/favicons
pricing: Free
region: Europe
scale note: Client-side tool - suitable for individual documents, not large datasets
scale tier: small
speed note: Browser-based - handles small to medium RDF documents for visualization and validation
speed tier: varies
subcategory: RDF Visualization / Validator
supports standard: RDF 1.1
description: Online RDF graph visualizer supporting Turtle, JSON-LD, TriG, and RDF-star with validation, conversion, and generation features
manufacturer: SSP SW Research

jsonld.js
type: Framework
type: SoftwareApplication
country: USA
demo url: https://json-ld.org/playground/
first release: 2012
focus area: Expansion/compaction
focus area: Framing
focus area: JSON-LD processing
focus area: RDF conversion
github: jsonld.js
has benchmark: false
has demo: true
language: JavaScript
license: BSD-3-Clause
logo hint: JSON-LD logo
pricing: Open Source
region: North America
scale note: Processes individual JSON-LD documents - not a bulk data tool
scale tier: small
speed note: Adequate for JSON-LD operations. Not designed for high-throughput RDF processing
speed tier: moderate
subcategory: JavaScript Library
supports standard: JSON-LD
supports standard: RDF 1.1
description: JSON-LD 1.1 processor and API implementation for JavaScript (Node.js and browser)
manufacturer: Digital Bazaar

maplib
type: Framework
type: SoftwareApplication
country: Norway
demo url: https://vimeo.com/1189459767
first release: 2023
focus area: Chrontext (multi-modal)
focus area: DataFrame-to-RDF
focus area: Datalog reasoning
focus area: Knowledge graph construction
focus area: OTTR templates
focus area: SHACL validation
focus area: SPARQL
focus area: Triple store
github: maplib
has benchmark: true
has demo: true
language: Python / Rust
license: Apache 2.0
logo hint: maplib DataTreehouse logo
pricing: Open Source (core) + Commercial (advanced features)
region: Europe
scale note: In-memory by default (bounded by RAM), but disk mode handles billions of triples for larger-than-memory datasets
scale tier: large
speed note: Very fast - Rust core with Polars/Arrow gives near-native I/O and sub-second SPARQL on millions of triples
speed tier: fast
subcategory: Python/Rust Library + Triple Store (disk mode)
supports standard: Datalog
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SPARQL 1.1
description: Rust-powered Python library for building, querying, and transforming RDF knowledge graphs from Polars DataFrames using OTTR templates. In-memory or persistent disk-backed triple store. Core mapping, SPARQL, and serialization are open source (Apache 2.0). SHACL validation, Datalog reasoning, and disk mode require a separate proprietary license.
manufacturer: Polars DataFrames

metaphactory
type: Tool
type: SoftwareApplication
country: Germany
demo url: https://wikidata.metaphacts.com/
first release: 2016
focus area: Knowledge graph platform
focus area: LDP support
focus area: Low-code
focus area: SPARQL
focus area: Semantic search
has benchmark: false
has demo: true
language: Java
license: Commercial (Community Edition available)
logo hint: metaphacts metaphactory logo
logo url: https://www.google.com/s2/favicons
pricing: Community Edition (free) + Commercial Enterprise
region: Europe
review url: https://www.youtube.com/watch
scale note: Scales with the underlying triple store. Proven in large enterprise deployments
scale tier: large
speed note: Flexible backend — can sit on top of GraphDB, Neptune, Stardog, or its own built-in store. Query speed depends on the chosen backend
speed tier: moderate
subcategory: Knowledge Graph Platform
supports standard: JSON-LD
supports standard: LDP
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SHACL
supports standard: SKOS
supports standard: SPARQL 1.1
description: Enterprise knowledge graph platform by metaphacts for building knowledge-driven applications on top of existing triple stores. Low-code UI framework with reusable semantic components, SPARQL editor, LDP support, and graph visualization
manufacturer: metaphacts

pySHACL
type: Framework
type: SoftwareApplication
country: Australia
first release: 2018
focus area: Constraint checking
focus area: Python
focus area: SHACL validation
focus area: SPARQL-based constraints
github: pySHACL
has benchmark: false
has demo: false
language: Python
license: Apache 2.0
logo hint: pySHACL Python validator logo
pricing: Open Source
region: Asia-Pacific
scale note: Inherits rdflib's limitations - validation on large graphs can be slow
scale tier: medium
speed note: Validation speed depends on shape complexity and rdflib backend. Adequate for typical ontologies
speed tier: moderate
subcategory: Python Library (Validator)
supports standard: OWL 2
supports standard: RDF 1.1
supports standard: SHACL
description: Python SHACL validator built on rdflib with support for SHACL rules, advanced path expressions, and SPARQL-based constraints
manufacturer: RDFLib

rdf-ext
type: Framework
type: SoftwareApplication
country: Switzerland
first release: 2014
focus area: Data pipelines
focus area: Developer experience
focus area: RDF/JS spec
focus area: Stream processing
github: rdf-ext
has benchmark: false
has demo: false
language: JavaScript
license: MIT
logo hint: rdf-ext JavaScript logo
pricing: Open Source
region: North America
scale note: Stream-based pipelines handle moderate data. Not for high-volume production
scale tier: small
speed note: Convenience-focused rather than performance-focused. Good DX, moderate throughput
speed tier: moderate
subcategory: JavaScript Library
supports standard: JSON-LD
supports standard: N3
supports standard: RDF 1.1
description: Developer-friendly RDF/JS extension library providing high-level APIs for working with RDF data in JavaScript
manufacturer: RDF-Ext

rdflib
type: Framework
type: SoftwareApplication
country: USA
first release: 2002
focus area: Education
focus area: Prototyping
focus area: RDF parsing
focus area: SPARQL
focus area: Serialization
github: rdflib
has benchmark: true
has demo: false
language: Python
license: BSD-3-Clause
logo hint: rdflib Python RDF logo
pricing: Open Source
region: North America
scale note: Struggles above ~1M triples due to memory and CPU. Not suitable for production-scale workloads
scale tier: small
speed note: Slow - pure Python, 10-100x slower than native alternatives. Fine for small datasets and prototyping
speed tier: slow
subcategory: Python Library
supports standard: JSON-LD
supports standard: N3
supports standard: RDF 1.1
supports standard: SPARQL 1.1
description: Pure Python library for working with RDF, including parsers/serializers for various formats, a graph interface, and a SPARQL engine
manufacturer: RDFLib

Australia
type: Country
flag: 🇦🇺

Austria
type: Country
flag: 🇦🇹

Bulgaria
type: Country
flag: 🇧🇬

Chile
type: Country
flag: 🇨🇱

Czech Republic
type: Country
flag: 🇨🇿

Denmark
type: Country
flag: 🇩🇰

Israel
type: Country
flag: 🇮🇱

Norway
type: Country
flag: 🇳🇴

Sweden
type: Country
flag: 🇸🇪

AllegroGraph integration
type: FocusArea

Archival
type: FocusArea

Autocomplete
type: FocusArea

Backward chaining
type: FocusArea

Beginner-friendly
type: FocusArea

Best practices
type: FocusArea

Browser extension
type: FocusArea

Browser-ready
type: FocusArea

Business glossaries
type: FocusArea

C library
type: FocusArea

CSV/JSON/XML to RDF
type: FocusArea

Change tracking
type: FocusArea

Chrontext (multi-modal)
type: FocusArea

Client-side querying
type: FocusArea

Connectors
type: FocusArea

Constraint checking
type: FocusArea

Content negotiation
type: FocusArea

Data exploration
type: FocusArea

Data governance
type: FocusArea

Data pipelines
type: FocusArea

Data publishing
type: FocusArea

Data transformation
type: FocusArea

Data virtualization
type: FocusArea

DataFrame-to-RDF
type: FocusArea

Database integration
type: FocusArea

Datalog
type: FocusArea

Datalog reasoning
type: FocusArea

Decentralized
type: FocusArea

Developer experience
type: FocusArea

Discussion threads
type: FocusArea

Docker-ready
type: FocusArea

Document + RDF
type: FocusArea

Documentation generation
type: FocusArea

Education
type: FocusArea

Embeddable
type: FocusArea

Embedded database
type: FocusArea

Enterprise AI
type: FocusArea

Enterprise ERP integration
type: FocusArea

Enterprise RDF
type: FocusArea

Enterprise modeling
type: FocusArea

Enterprise semantic AI
type: FocusArea

Expansion/compaction/framing
type: FocusArea

Explanation
type: FocusArea

Faceted search
type: FocusArea

Force-directed layout
type: FocusArea

Fuseki server
type: FocusArea

Generic API
type: FocusArea

GeoSPARQL
type: FocusArea

Geospatial
type: FocusArea

GitHub-backed
type: FocusArea

Graph Store Protocol
type: FocusArea

GraphQL
type: FocusArea

HermiT/Pellet
type: FocusArea

Heterogeneous data sources
type: FocusArea

High availability
type: FocusArea

Hypertableau calculus
type: FocusArea

In-database processing
type: FocusArea

In-memory
type: FocusArea

In-memory reasoning
type: FocusArea

Incremental materialization
type: FocusArea

Interactive
type: FocusArea

Interactive testing
type: FocusArea

JSON-LD 1.1
type: FocusArea

JSON-LD processing
type: FocusArea

JSON-LD testing
type: FocusArea

Java API
type: FocusArea

Java processing
type: FocusArea

Jena/RDF4J interop
type: FocusArea

Jena integration
type: FocusArea

Knowledge modeling
type: FocusArea

LMDB backend
type: FocusArea

Language bindings
type: FocusArea

Large-scale querying
type: FocusArea

Legacy PHP projects
type: FocusArea

Lightweight
type: FocusArea

Linked Data
type: FocusArea

Linked Data consumption
type: FocusArea

Live preview
type: FocusArea

Low-cost publishing
type: FocusArea

Managed cloud service
type: FocusArea

Metadata management
type: FocusArea

Modeling errors
type: FocusArea

Modular architecture
type: FocusArea

Multi-database IDE
type: FocusArea

Multiple storage backends
type: FocusArea

MySQL storage
type: FocusArea

N-Triples
type: FocusArea

No data duplication
type: FocusArea

OLAP on graphs
type: FocusArea

OTTR templates
type: FocusArea

OWL 2
type: FocusArea

OWL 2 DL reasoning
type: FocusArea

OWL 2 reasoning
type: FocusArea

OWL/RDFS reasoning
type: FocusArea

OWL ontologies
type: FocusArea

Ontology IDE
type: FocusArea

Ontology editing
type: FocusArea

Ontology quality
type: FocusArea

Ontology visualization
type: FocusArea

Pitfall detection
type: FocusArea

Plugin ecosystem
type: FocusArea

Prefix autocompletion
type: FocusArea

Prolog reasoning
type: FocusArea

Property graph
type: FocusArea

Prototyping
type: FocusArea

Python
type: FocusArea

Python/JS bindings
type: FocusArea

Python-native
type: FocusArea

Query builder
type: FocusArea

R2RML/RML
type: FocusArea

R2RML compatible
type: FocusArea

R2RML mapping
type: FocusArea

R2RML mappings
type: FocusArea

RDF 1.2
type: FocusArea

RDF API abstraction
type: FocusArea

RDF/XML
type: FocusArea

RDF/XML validation
type: FocusArea

RDF import/export
type: FocusArea

RDF mapping
type: FocusArea

RDF modeling
type: FocusArea

RDF-star support
type: FocusArea

RDF streaming
type: FocusArea

RDF4J administration
type: FocusArea

RML export
type: FocusArea

RML mapping
type: FocusArea

Repository management
type: FocusArea

Result visualization
type: FocusArea

Rule-based reasoning
type: FocusArea

Rust toolkit
type: FocusArea

SAIL API
type: FocusArea

SHACL
type: FocusArea

SHACL rules
type: FocusArea

SKOS
type: FocusArea

SKOS management
type: FocusArea

SPARQL analytics
type: FocusArea

SPARQL-based constraints
type: FocusArea

SPARQL editing
type: FocusArea

SPARQL proxy
type: FocusArea

SPARQL queries
type: FocusArea

SPARQL querying
type: FocusArea

SPARQL-to-SQL
type: FocusArea

SQL/RDF hybrid queries
type: FocusArea

SQL + SPARQL hybrid
type: FocusArea

SQLite backend
type: FocusArea

Security
type: FocusArea

Semantic layer
type: FocusArea

Semantic search
type: FocusArea

Serverless option
type: FocusArea

Simple API
type: FocusArea

Stream processing
type: FocusArea

Streaming I/O
type: FocusArea

Streaming parser
type: FocusArea

Syntax highlighting
type: FocusArea

TDB storage
type: FocusArea

TDB2 storage
type: FocusArea

Taxonomy management
type: FocusArea

Temporal reasoning
type: FocusArea

Tensor-based indexing
type: FocusArea

Text mining
type: FocusArea

Triple Pattern Fragments
type: FocusArea

Triple listing
type: FocusArea

Triple-pattern queries
type: FocusArea

Triple store connectors
type: FocusArea

Turtle
type: FocusArea

Turtle/N-Triples/N-Quads/TriG
type: FocusArea

Turtle/N3/N-Quads
type: FocusArea

Turtle editing
type: FocusArea

Turtle output
type: FocusArea

Type-safe graph operations
type: FocusArea

Type-safe interfaces
type: FocusArea

UML diagrams
type: FocusArea

URI dereferencing
type: FocusArea

VOWL notation
type: FocusArea

Version control
type: FocusArea

Virtual graphs
type: FocusArea

Virtual knowledge graph
type: FocusArea

Virtual knowledge graphs
type: FocusArea

Visual workbench
type: FocusArea

Visualization
type: FocusArea

Vocabularies
type: FocusArea

Web-based
type: FocusArea

Web development
type: FocusArea

Wikidata
type: FocusArea

Worst-case optimal joins
type: FocusArea

YARRRML
type: FocusArea

YARRRML editing
type: FocusArea

openCypher
type: FocusArea

Amazon Web Services
type: Organization

AtomGraph
type: Organization

Benjamin Nowack
type: Organization

Blazegraph
type: Organization

Cambridge Semantics
type: Organization

Clark & Parsia
type: Organization

Comunica
type: Organization

DICE Research
type: Organization

dotNetRDF
type: Organization

EasyRdf Contributors
type: Organization

Free University of Bozen-Bolzano
type: Organization

gdotv
type: Organization

Ghent University
type: Organization

GitHub
type: Organization

Graphy.js
type: Organization

Independent
type: Organization

KU Leuven
type: Organization

LITMUS-MAQS
type: Organization

MarkLogic
type: Organization

metaphacts
type: Organization

Millennium Institute
type: Organization

Morph-KGC
type: Organization

Neo4j
type: Organization

OEG-UPM
type: Organization

Ontopic
type: Organization

Ontotext
type: Organization

Oracle
type: Organization

Owlready2
type: Organization

Oxford Semantic Technologies
type: Organization

Polars DataFrames
type: Organization

Qendpoint
type: Organization

RDF-Ext
type: Organization

RDFSharp
type: Organization

RML.io
type: Organization

Ruben Taelman
type: Organization

SAP
type: Organization

Semantic Web Company
type: Organization

Sophia
type: Organization

SSP SW Research
type: Organization

Stanford
type: Organization

Stanford University
type: Organization

Stardog Union
type: Organization

Timbr.AI
type: Organization

University
type: Organization

University of Mannheim
type: Organization

University of Oxford
type: Organization

W3C
type: Organization

Zazuko
type: Organization

Asia-Pacific
type: Region

Middle East
type: Region

South America
type: Region

CSVW
type: Standard

OSDS (OpenLink Structured Data Sniffer)
type: Tool
type: SoftwareApplication
country: USA
first release: 2016
focus area: Browser extension
focus area: Exploration
focus area: Format conversion
focus area: Graph visualization
focus area: Linked Data publishing
focus area: RDF visualization
focus area: SPARQL
github: OSDS extension
has benchmark: false
has demo: false
language: JavaScript / TypeScript
license: GPL v2 (Open Source)
logo hint: OpenLink OSDS logo
pricing: Open Source (Free)
region: North America
scale note: Works with any RDF-enabled endpoint or embedded structured data. Scales with the connected data source
scale tier: medium
speed note: Client-side processing - performance depends on browser and page complexity
speed tier: fast
subcategory: Browser Extension / RDF Visualization
supports standard: JSON-LD
supports standard: Microdata
supports standard: RDF 1.1
supports standard: RDFa
supports standard: SPARQL 1.1
description: Browser extension and SDK for Linked Data exploration, SPARQL query construction, RDF visualization, and knowledge graph discovery. Provides structured data extraction, entity reconciliation, and semantic data browsing directly in the browser
manufacturer: OpenLink Software

Global
type: Country
flag: 🌐

Classification
type: FocusArea

Collaborative editing
type: FocusArea

Compressed RDF
type: FocusArea

Consistency checking
type: FocusArea

Cypher queries
type: FocusArea

Data integration
type: FocusArea

Enterprise integration
type: FocusArea

Expansion/compaction
type: FocusArea

Exploration
type: FocusArea

Federated queries
type: FocusArea

Format conversion
type: FocusArea

Framing
type: FocusArea

Gremlin
type: FocusArea

HTTP endpoint
type: FocusArea

High-performance
type: FocusArea

Knowledge graph platform
type: FocusArea

LDP support
type: FocusArea

Multi-model
type: FocusArea

.NET ecosystem
type: FocusArea

PHP RDF
type: FocusArea

RDF/JS spec
type: FocusArea

RDF conversion
type: FocusArea

RDF storage
type: FocusArea

RDF visualization
type: FocusArea

SPARQL editor
type: FocusArea

Serialization
type: FocusArea

Shape debugging
type: FocusArea

Validation
type: FocusArea

Dave Beckett
type: Organization

Eclipse Foundation
type: Organization

Franz Inc
type: Organization

OpenLink Software
type: Organization

Oxigraph
type: Organization

RDFLib
type: Organization

Sparna
type: Organization

Triply
type: Organization

Global
type: Region

Datalog
type: Standard

Italy
type: Country
flag: 🇮🇹

Spain
type: Country
flag: 🇪🇸

Switzerland
type: Country
flag: 🇨🇭

Enterprise
type: FocusArea

Knowledge graph construction
type: FocusArea

RDF API
type: FocusArea

Reasoning
type: FocusArea

SPARQL server
type: FocusArea

Wikidata-scale
type: FocusArea

Apache Software Foundation
type: Organization

Digital Bazaar
type: Organization

TopQuadrant
type: Organization

RML
type: Standard

Netherlands
type: Country
flag: 🇳🇱

Full-text search
type: FocusArea

Low-code
type: FocusArea

OWL reasoning
type: FocusArea

RDF parsing
type: FocusArea

Triple store
type: FocusArea

slow
type: SpeedTier

N3
type: Standard

varies
type: ScaleTier

Belgium
type: Country
flag: 🇧🇪

Graph visualization
type: FocusArea

Linked Data publishing
type: FocusArea

SPARQL 1.1
type: FocusArea

R2RML
type: Standard

France
type: Country
flag: 🇫🇷

SHACL validation
type: FocusArea

SKOS
type: Standard

Germany
type: Country
flag: 🇩🇪

UK
type: Country
flag: 🇬🇧

SPARQL 1.2
type: Standard

RDF 1.2
type: Standard

LDP
type: Standard

SPARQL
type: FocusArea

USA
type: Country
flag: 🇺🇸

moderate
type: SpeedTier

medium
type: ScaleTier

small
type: ScaleTier

North America
type: Region

SHACL
type: Standard

varies
type: SpeedTier

fast
type: SpeedTier

JSON-LD
type: Standard

OWL 2
type: Standard

large
type: ScaleTier

Europe
type: Region

SPARQL 1.1
type: Standard

RDF 1.1
type: Standard