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Head-to-head · RDF Databases

Stardog vs Eclipse RDF4J

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Stardog #3 in RDF Databases 9.0/10 Free plan Free plan✓ 0 of 3 features Visit Stardog
Eclipse RDF4J #6 in RDF Databases 8.6/10 Open source ✓ 3 of 3 features Visit Eclipse RDF4J

Stardog leads on 0 checks, Eclipse RDF4J 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 scoreStardog · 9.0/10
  • Free planonly Stardog
  • Most featuresEclipse RDF4J · 3 of 3

Stardog scores higher on our rubric for rdf databases: 9.0 against 8.6 out of 10; our editors rank them #3 and #6.

Stardog is the better fit for enterprise virtual graphs and data federation. Eclipse RDF4J is the better fit for developers building RDF applications and services.

  • Stardog fits best

    Enterprise virtual graphs and data federation

  • Eclipse RDF4J fits best

    Developers building RDF applications and services

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Stardog 9.0/10 Visit ↗ Eclipse RDF4J 8.6/10 Visit ↗
At a glance
Editor score 9.0 8.6
Ranking #3 in RDF Databases #6 in RDF Databases
Best for Enterprise virtual graphs and data federation Developers building RDF applications and services
Pricing model Free plan + paid Free
Starting price — Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted, Desktop, Browser extension
Platforms Web Web, Linux, Windows, macOS
Support Community, Docs · 24/7 Community, Docs
Integrations 20 integrations 7 integrations
Built for Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Stardog 0/3 · Eclipse RDF4J 3/3
Reasoning support Not checked yet ✓ (best)
RDF-star support Not checked yet ✓ (best)
Federated queries Not checked yet ✓ (best)
Specs
Deployment options Not checked yet Self-hosted
SPARQL support Not checked yet Sparql 1.2
Supported RDF formats Not checked yet RDF/XML, Turtle, N-Triples, N-Quads, JSON-LD, TriG, TriX
Our review
Pros
  • Virtual graphs query remote relational, NoSQL, file, and SPARQL sources
  • Federation, inference, ontology management, caching, and scheduled triggers
  • Cloud and self-managed deployment with SQL, REST, GraphQL, and CLI access
  • 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
Cons
  • The Free plan is limited to 1 million stored edges
  • Free uses shared cloud hosting and includes community support
  • Enterprise pricing is contact-sales only
  • 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
Our verdict

Stardog is a knowledge-graph and semantic AI platform for enterprises that need to connect and query distributed data. Its virtual graphs can work across relational, NoSQL, file, cloud, and SPARQL sources without necessarily moving that…

Read the review →

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 →
  1. StardogRDF Databases 9.0Free plan
  2. Eclipse RDF4JRDF Databases 8.6Open source

Strengths and trade-offs

  • Stardog — where it wins

    • Virtual graphs query remote relational, NoSQL, file, and SPARQL sources
    • Federation, inference, ontology management, caching, and scheduled triggers
    • Cloud and self-managed deployment with SQL, REST, GraphQL, and CLI access

    Where it doesn't

    • The Free plan is limited to 1 million stored edges
    • Free uses shared cloud hosting and includes community support
    • Enterprise pricing is contact-sales only

  • 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

More comparisons

All RDF databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update