Eclipse RDF4J vs LinkedDataHub
Eclipse RDF4J
rdf4j.orgLinkedDataHub
atomgraph.github.ioSide by side
| Figure | Eclipse RDF4J | LinkedDataHub |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Knowledge Graph Software | 9.0 (#3) | 8.8 (#5) |
| Documentation depth | Documentation includes getting-started tutorials, programming guides, reference material, tool manuals, release notes and JavaDoc links. | Documentation covers administration, CLI, configuration, data models, dataspaces, HTTP API, imports, triplestores, stylesheets and user tutorials. |
| Founded | 2015 | 2011 |
| Integrations | Documented compatible systems include GraphDB, Halyard, Stardog, Amazon Neptune, Blazegraph, Oracle RDF, MarkLogic, Strabon and Virtuoso. | LinkedDataHub uses Apache Jena Fuseki by default and can work with SPARQL 1.1-compatible triplestores that support SPARQL Query, SPARQL Update, and Graph Store Protocol. |
| Intended users | The site presents RDF4J as a framework for Java developers building applications with RDF, Linked Data, SPARQL endpoints, and Semantic Web data. | The product page presents use cases for researchers and data scientists, developers and data publishers, and AI agents and their builders. |
| Purpose | RDF4J is a modular Java framework for parsing, storing, querying, and reasoning over RDF data. | LinkedDataHub is an open-source, low-code platform for managing data, creating visualizations, and building apps on RDF knowledge graphs. |
| Self-hosting | RDF4J Server and Workbench are deployable as web applications, with documentation covering Tomcat installation and repository configuration. | Deployment uses Docker and Docker Compose, with local, on-premises and cloud options documented. |
| What it does | Eclipse RDF4J is a modular Java framework for parsing, storing, inferring and querying RDF data. | LinkedDataHub is a low-code platform for managing RDF knowledge graphs, creating visualizations and building applications. |
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.
LinkedDataHub
LinkedDataHub is an open-source, low-code platform for managing data, creating visualizations, and building applications on RDF knowledge graphs. It can also operate as an RDF-native content management platform. The interface includes UI components, SPARQL templates for creating and editing content, and SPIN and SHACL constraints for validating incoming data. CSV and RDF imports are supported, with SPARQL CONSTRUCT used for mapping or transformation. Authentication supports WebID and OpenID Connect with Google and ORCID. WAC permissions cover read, write, append, and control access. Git-backed document history is available through Memento. The platform exposes a SPARQL endpoint and read-write Linked Data API, serving documents as HTML or RDF from the same URIs. It uses Apache Jena Fuseki by default, supports compatible SPARQL 1.1 triplestores, and runs locally with Docker Compose. The project is self-hosted under Apache 2.0.