Eclipse RDF4J vs Quadstore
Eclipse RDF4J
rdf4j.orgQuadstore
github.comSide by side
| Figure | Eclipse RDF4J | Quadstore |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · RDF Databases | 8.8 (#2) | 7.1 (#23) |
| License | The project states that Eclipse RDF4J is licensed under the Eclipse Distribution License version 1.0. | The repository README identifies the license as MIT. |
| Runtime requirement | The latest stable release, RDF4J 6.1.0, requires Java 25 or newer. | The README says Node.js 18.0.0 or later is required and also describes use with Deno, browsers, and Bun. |
| SPARQL | The framework supports SPARQL 1.1 query and update and uses the same API for local and remote repositories. | SPARQL queries are supported through quadstore-comunica, a separate tailored distribution and configuration of Comunica. |
Plans
In their own words
Eclipse RDF4J
Eclipse RDF4J is a modular Java framework for parsing, storing, querying, and reasoning over RDF data. It supports SPARQL 1.1 query and update, and its API can access remote RDF repositories in the same way as local ones. Supported formats include RDF/XML, Turtle, N-Triples, N-Quads, JSON-LD, TriG, and TriX. Storage options include a transactional in-memory store with optional disk persistence and a transactional Native Store aimed at medium-sized datasets around 100 million triples. Extensions add full-text search, RDFS inferencing, rule-based reasoning, SHACL and SPIN validation, and geospatial queries. The SDK bundles libraries, Server, Workbench, Console, and Javadoc API; Workbench includes a web interface with a SPARQL editor. Developers can use Maven artifacts or download an SDK zip or onejar. RDF4J is free under the Eclipse Distribution License, version 1.0. The latest stable release, 6.1.0, requires Java 25 or newer. The project describes its core databases as mainly intended for small to medium-sized datasets and notes third-party stores may scale further or offer additional features.