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Thu, Jul 2, 2026
balloons We are excited to announce the release of RDF4J 6.0.0!

RDF4J 6.0.0 is a major release of the Eclipse RDF4J framework. It brings broad RDF 1.2 and SPARQL 1.2 support, moves the project to Java 25 and Jakarta, and delivers substantial improvements across HTTP, storage, federation, query execution, security, and deployment.

Highlights include:

  • RDF 1.2 triple terms, literals with base direction, version announcements, and updated parsers, writers, protocols, and stores
  • SPARQL 1.2 grammar and evaluation
  • Support for LATERAL joins in SPARQL
  • A Java 25 baseline and upgrades to Jakarta Servlet, Spring 7, Jetty 12, Tomcat 11, Lucene 10, Elasticsearch 9, and Jackson 3
  • A client-neutral HTTP API with Apache HttpComponents 5 and JDK backends, plus gzip, deflate, Brotli, and Zstandard compression
  • LMDB value-ID, data loading, reader-recovery, and cardinality-estimation improvements, together with grouped FedX source selection
  • Query circuit breakers, slow-query logging and hardened XML processing

Before upgrading

RDF4J 6.0.0 requires Java 25 and contains backward-incompatible changes. Applications that embed RDF4J Server or Workbench must move from javax.servlet to Jakarta Servlet APIs. Code that supplies a custom Apache HttpClient 4 instance must migrate to the new client-neutral HTTP API and authentication interfaces.

See the release notes for the full list of changes and detailed upgrade guidance.



Tue, Jun 23, 2026

RDF4J 5.3.2 is now available. This is a patch release fixing 2 issues, including a security fix for XML parsing.

The security fix is a follow-up to CVE-2018-1000644. Several XML parser entry points were not covered by the earlier fix and could still allow XML External Entity (XXE) style processing in some configurations. RDF4J 5.3.2 hardens these paths so DOCTYPE declarations, external entities, and external DTD loading are rejected or disabled by default.

We recommend that users who parse untrusted XML-based RDF4J data or query results upgrade to this release.

For more details, have a look at the release notes.



Mon, Jun 22, 2026

Milestone number 3 of the upcoming 6.0.0 release of RDF4J is now available for download.

RDF4J 6.0.0 is a major release of the RDF4J framework. This third milestone focuses on hardening the RDF 1.2 and SPARQL 1.2 work from the previous milestones, expanding store support, and fixing several release-readiness issues found during verification.

Please note that RDF4J 6.0.0-M3 requires Java 25.

This is the final planned milestone build before RDF4J 6.0.0. Once M3 has been verified, we will start planning the final release. Please try this build and let us know about regressions, upgrade problems, missing documentation, or any other surprises by opening a GitHub issue or starting a GitHub discussion.

Some of the highlights covered in this third milestone:

  • RDF 1.2 and SPARQL 1.2 hardening across parsers, writers, the model and query APIs, protocol/result serialization, MemoryStore, NativeStore, and LMDBStore
  • LMDB support for RDF 1.2 triple terms and literals with base direction, plus NativeStore concurrency and transaction-recovery fixes
  • RDF/XML 1.2 support, Turtle and N3 directive-style writer support, and cleanup of obsolete RDF-star writer registrations
  • SPARQL LATERAL support, plus generated SPARQL parser improvements that reduce expensive LOOKAHEAD paths
  • Initial RDF 1.2 query support in FedX and cleanup of FedX exception handling contracts
  • LMDB sketch-based planning disabled by default while the estimator and planning work is hardened for the final release
  • Safer transaction XML parsing, safer Workbench server selection, and an Apache HttpClient 5 extension point that allows subclasses to cancel long-running requests


About

Eclipse RDF4J™ is a powerful Java framework for processing and handling RDF data. This includes creating, parsing, scalable storage, reasoning and querying with RDF and Linked Data. It offers an easy-to-use API that can be connected to all leading RDF database solutions. It allows you to connect with SPARQL endpoints and create applications that leverage the power of linked data and Semantic Web.


RDF4J Architecture

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