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Head-to-head · RDF Databases

Eclipse RDF4J vs RDFox

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Eclipse RDF4J #6 in RDF Databases 8.6/10 Open source ✓ 3 of 3 features Visit Eclipse RDF4J
RDFox #8 in RDF Databases 8.4/10 Pricing on request ✓ 0 of 3 features Visit RDFox

Eclipse RDF4J leads on 0 checks, RDFox on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreEclipse RDF4J · 8.6/10
  • Most featuresEclipse RDF4J · 3 of 3

Eclipse RDF4J scores higher on our rubric for rdf databases: 8.6 against 8.4 out of 10; our editors rank them #6 and #8.

Eclipse RDF4J is the better fit for developers building RDF applications and services. RDFox is the better fit for enterprises needing advanced semantic reasoning.

  • Eclipse RDF4J fits best

    Developers building RDF applications and services

  • RDFox fits best

    Enterprises needing advanced semantic reasoning

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Side by side

Feature Eclipse RDF4J 8.6/10 Visit ↗ RDFox 8.4/10 Visit ↗
At a glance
Editor score 8.6 8.4
Ranking #6 in RDF Databases #8 in RDF Databases
Best for Developers building RDF applications and services Enterprises needing advanced semantic reasoning
Pricing model Free Paid
Starting price Open source Pricing on request
Free plan Not checked yet —
Free trial — —
Deployment Cloud, Self-hosted, Desktop, Browser extension Cloud, Self-hosted, Desktop
Platforms Web, Linux, Windows, macOS Web, Windows, macOS, Linux
Support Community, Docs Email, Community, Docs
Integrations 7 integrations 2 integrations
Built for Solo, Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Eclipse RDF4J 3/3 · RDFox 0/3
Reasoning support ✓ (best) Not checked yet
RDF-star support ✓ (best) Not checked yet
Federated queries ✓ (best) Not checked yet
Specs
Deployment options Self-hosted Not checked yet
SPARQL support Sparql 1.2 Not checked yet
Supported RDF formats RDF/XML, Turtle, N-Triples, N-Quads, JSON-LD, TriG, TriX Not checked yet
Our review
Pros
  • Supports SPARQL 1.2, RDF 1.2 terms, reasoning, and SHACL validation
  • Combines in-memory, native, federated, and remote repository workflows
  • Includes RDF4J Server and Workbench alongside Java APIs and RDF tooling
  • Supports SPARQL 1.1, OWL 2, SWRL and Datalog reasoning.
  • Incremental reasoning can materialize derived facts automatically.
  • Offers REST and Java APIs, a web console and high availability.
Cons
  • Primarily targets Java developers, narrowing fit for non-Java teams
  • Self-hosted deployment places infrastructure operations on the adopting team
  • Its framework-and-toolkit model is less direct than a hosted database service
  • No free plan; access to pricing requires contacting sales.
  • Its semantic reasoning focus may exceed simpler RDF storage needs.
  • Deployment and API options may require technical setup.
Our verdict

Eclipse RDF4J is an open-source, modular Java framework for creating, parsing, storing, querying, reasoning over, and validating RDF data. It is aimed at developers building semantic-web, linked-data, knowledge-graph, and RDF database…

Read the review →

RDFox is an in-memory knowledge graph database and semantic reasoning engine from Oxford Semantic Technologies. It stores RDF data, supports SPARQL 1.1 queries, and derives facts from rules and ontological axioms. The product is aimed at…

Read the review →
  1. Eclipse RDF4JRDF Databases 8.6Open source
  2. RDFoxRDF Databases 8.4Pricing on request

Strengths and trade-offs

  • Eclipse RDF4J — where it wins

    • Supports SPARQL 1.2, RDF 1.2 terms, reasoning, and SHACL validation
    • Combines in-memory, native, federated, and remote repository workflows
    • Includes RDF4J Server and Workbench alongside Java APIs and RDF tooling

    Where it doesn't

    • Primarily targets Java developers, narrowing fit for non-Java teams
    • Self-hosted deployment places infrastructure operations on the adopting team
    • Its framework-and-toolkit model is less direct than a hosted database service
  • RDFox — where it wins

    • Supports SPARQL 1.1, OWL 2, SWRL and Datalog reasoning.
    • Incremental reasoning can materialize derived facts automatically.
    • Offers REST and Java APIs, a web console and high availability.

    Where it doesn't

    • No free plan; access to pricing requires contacting sales.
    • Its semantic reasoning focus may exceed simpler RDF storage needs.
    • Deployment and API options may require technical setup.

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update