RDF Vendor Landscape

A comprehensive, interactive guide to 75 databases, frameworks, and tools in the RDF and semantic web ecosystem — built from a single RDF source of truth.

By Veronika Heimsbakk · GitHub · Live Site

About

About This Dataset

The RDF Vendor Landscape Dataset is a comprehensive RDF knowledge graph describing 75 databases, frameworks, and tools in the RDF and semantic web ecosystem. It serves as the single source of truth for the interactive vendor landscape website. Each vendor is modeled with standards support, licensing, pricing, geographic distribution, and organizational affiliation. The knowledge graph comprises 3,071 triples covering 59 organizations across 19 countries, 231 focus areas, and 14 W3C standards.

Technology Stack:

Statistics

Landscape by the Numbers

75
Total Products
22
Databases
23
Frameworks
30
Tools
59
Organizations
19
Countries
231
Focus Areas
14
Standards
3,071
RDF Triples
Architecture

Build Pipeline

The automated pipeline that transforms RDF source data into a deployable single-page web application:

1

Edit vendors.ttl

Edit the RDF Turtle file — the single source of truth for all vendor data. Add new vendors, update descriptions, correct URLs.

2

Run build.py

Execute the Python build script using maplib to parse vendors.ttl, run SPARQL queries, and inject the result as JavaScript into index.html.

3

Deploy via GitHub Pages

Commit and push. GitHub Pages deploys the self-contained index.html — no server required.

Executable

Live SPARQL Queries

Five SPARQL queries that run against the vendor landscape instance data. Each demonstrates querying products, organizations, standards, and focus areas.

1Vendor Count by Type▼

Count how many vendors fall into each category: Database, Framework, or Tool.

PREFIX vl: <http://data.veronahe.no/vocab#> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> SELECT ?type (COUNT(?product) AS ?count) WHERE { ?product a ?type . FILTER(?type IN (vl:Database, vl:Framework, vl:Tool)) } GROUP BY ?type ORDER BY DESC(?count)
▶ Run live query
2Products Supporting SPARQL 1.1▼

List all products that support SPARQL 1.1, showing name and manufacturer organization.

PREFIX vl: <http://data.veronahe.no/vocab#> PREFIX std: <http://data.veronahe.no/standard/> PREFIX schema: <http://schema.org/> SELECT ?product ?name ?orgName WHERE { ?product vl:supportsStandard std:SPARQL-1-1 ; schema:name ?name . OPTIONAL { ?product schema:manufacturer ?org . ?org schema:name ?orgName } } ORDER BY ?name
▶ Run live query
3Products by Country▼

Count products grouped by country to see the geographic distribution of the RDF ecosystem.

PREFIX vl: <http://data.veronahe.no/vocab#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> SELECT ?countryLabel (COUNT(?product) AS ?count) WHERE { ?product vl:country ?country . ?country rdfs:label ?countryLabel . } GROUP BY ?countryLabel ORDER BY DESC(?count)
▶ Run live query
4Organizations with the Most Products▼

Rank organizations by how many products they have in the landscape — highlighting key players in the RDF ecosystem.

PREFIX schema: <http://schema.org/> SELECT ?orgName (COUNT(?product) AS ?productCount) WHERE { ?product schema:manufacturer ?org . ?org schema:name ?orgName . } GROUP BY ?orgName ORDER BY DESC(?productCount) LIMIT 15
▶ Run live query
5Vendor Profile — OpenLink Software's OSDS▼

Full profile of the OSDS (OpenLink Structured Data Sniffer) — a browser extension for Linked Data exploration.

PREFIX schema: <http://schema.org/> PREFIX vl: <http://data.veronahe.no/vocab#> PREFIX owl: <http://www.w3.org/2002/07/owl#> DESCRIBE <https://github.com/OpenLinkSoftware/OSDS_extension#this>
▶ Run live query
FAQ

Frequently Asked Questions

1What is the RDF Vendor Landscape?▼

A comprehensive, interactive guide to 75 databases, frameworks, and tools in the RDF and semantic web ecosystem — with filtering, comparison, benchmarks, and SPARQL.

2What is the source of truth?▼

vendors.ttl — an RDF Turtle document containing descriptions, standards, licensing, pricing, GitHub URLs, and geographic info for every vendor.

3How is the website built?▼

vendors.ttl → build.py (maplib + SPARQL) → index.html. The Python build script extracts data from RDF and injects it as a JS array into the website.

4How many vendors are covered?▼

75 vendors (22 Databases, 23 Frameworks, 30 Tools) from 59 organizations across 19 countries.

5What technologies power it?▼

RDF Turtle for data modeling, maplib for RDF-to-JS conversion, SPARQL for data extraction, GitHub Pages for deployment.

6How can I contribute?▼

Edit vendors.ttl, run pip install maplib && python build.py, verify changes, and submit a pull request.

7What license does the data use?▼

The vendor data and website code are open for reuse. Individual vendor entries carry their own licenses and trademarks.

8What standards are tracked?▼

14 W3C/community standards: RDF 1.1, SPARQL 1.1, OWL 2, SHACL, JSON-LD, RDFa, Turtle, N-Triples, RDF/XML, SPARQL Update, SPARQL Protocol, LDP, GeoSPARQL, Graph Store Protocol.

9What org types are represented?▼

59 organizations: major tech companies (Oracle, SAP, Amazon), AI labs (Google DeepMind), open-source foundations (Apache, Eclipse), universities (Stanford, Ghent, KU Leuven), and semantic web specialists (Ontotext, Stardog, Franz Inc., OpenLink Software).

10Does it include benchmarks?▼

Yes. Vendors tagged with speed tiers (fast, varies) and scale tiers (large, medium, small) from the trainmarks benchmark suite.

11How are focus areas organized?▼

231 focus areas as a controlled vocabulary: SPARQL, SHACL, OWL reasoning, RDF visualization, KG construction, linked data publishing, federated queries, and more.

12Where is the live site?▼

veleda.github.io/rdf-vendor-landscape — a single self-contained HTML file, no server required.

Glossary

Key Terms

RDF Vendor Landscape

Comprehensive interactive guide to 75 RDF databases, frameworks, and tools.

vendors.ttl

RDF Turtle file serving as the single source of truth for all vendor data.

Build Pipeline

Automated process: vendors.ttl → build.py → index.html via maplib + SPARQL.

maplib

Python library for mapping DataFrames to RDF and executing SPARQL queries.

SPARQL

W3C standard query language for RDF — used in the build pipeline.

GitHub Pages

Static site hosting used to deploy the vendor landscape website.

Focus Area

A specific capability or domain addressed by a vendor — 231 in the landscape.

W3C/Community Standard

A specification supported by vendors — 14 standards tracked.

Vendor Type

Classification: Database (22), Framework (23), or Tool (30).

Organization

Company or institution behind a vendor product — 59 represented.