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Head-to-head · RDF Databases

AllegroGraph vs Eclipse RDF4J

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score AllegroGraph #2 in RDF Databases 9.1/10 Free plan Free plan✓ 0 of 3 features Visit AllegroGraph
Eclipse RDF4J #6 in RDF Databases 8.6/10 Open source ✓ 3 of 3 features Visit Eclipse RDF4J

AllegroGraph 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 scoreAllegroGraph · 9.1/10
  • Free planonly AllegroGraph
  • Most featuresEclipse RDF4J · 3 of 3

AllegroGraph scores higher on our rubric for rdf databases: 9.1 against 8.6 out of 10; our editors rank them #2 and #6.

AllegroGraph is the better fit for enterprise RDF, reasoning, and graph analytics. Eclipse RDF4J is the better fit for developers building RDF applications and services.

  • AllegroGraph fits best

    Enterprise RDF, reasoning, and graph analytics

  • Eclipse RDF4J fits best

    Developers building RDF applications and services

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Side by side

Feature AllegroGraph 9.1/10 Visit ↗ Eclipse RDF4J 8.6/10 Visit ↗
At a glance
Editor score 9.1 8.6
Ranking #2 in RDF Databases #6 in RDF Databases
Best for Enterprise RDF, reasoning, and graph analytics Developers building RDF applications and services
Pricing model Free plan + paid Free
Starting price Free plan Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted, Desktop, Browser extension
Platforms Web, Linux Web, Linux, Windows, macOS
Support Email, Docs Community, Docs
Integrations 18 integrations 7 integrations
Built for Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features AllegroGraph 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
  • Supports RDF triples and quads with SPARQL, Prolog, RDFS++, and OWL reasoning
  • Combines federation, sharding, replication, geospatial, temporal, and vector capabilities
  • Offers triple-level security plus integrations across analytics and data platforms
  • 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
  • Paid licensing is quotation-based rather than publicly listed
  • SQL support is not available
  • Its broad feature set is more specialized than a focused graph database
  • 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

AllegroGraph is a persistent graph database and application framework for organizations building enterprise knowledge graphs, data fabrics, semantic applications, and neuro-symbolic AI systems. It stores RDF triples and quads and supports…

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. AllegroGraphRDF Databases 9.1Free plan
  2. Eclipse RDF4JRDF Databases 8.6Open source

Strengths and trade-offs

  • AllegroGraph — where it wins

    • Supports RDF triples and quads with SPARQL, Prolog, RDFS++, and OWL reasoning
    • Combines federation, sharding, replication, geospatial, temporal, and vector capabilities
    • Offers triple-level security plus integrations across analytics and data platforms

    Where it doesn't

    • Paid licensing is quotation-based rather than publicly listed
    • SQL support is not available
    • Its broad feature set is more specialized than a focused graph database
  • 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

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update