Eclipse RDF4J vs Memgraph
Eclipse RDF4J
rdf4j.orgMemgraph
memgraph.comSide by side
| Figure | Eclipse RDF4J | Memgraph |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 7 |
| Spec score · Graph Databases | 8.8 (#4) | 8.6 (#6) |
| Documentation depth | Documentation includes getting-started tutorials, programming guides, reference material, tool manuals, release notes and JavaDoc links. | The docs cover installation, client libraries, migration from graph and SQL systems, query modules, deployment, configuration, troubleshooting and release notes, and expose a public MCP documentation server. |
| Founded | 2015 | 2016 |
| Security | The Eclipse project page links to the Eclipse Foundation vulnerability reporting channel. | Enterprise features include role and label based access controls, SSO, LDAP/PAM authentication, TLS encryption in transit, and query audit logging. |
| What it does | Eclipse RDF4J is a modular Java framework for parsing, storing, inferring and querying RDF data. | Memgraph is an in-memory C++ graph database for real-time AI context, GraphRAG, agent memory and graph analytics. |
Plans
Memgraph
- Community EditionFree
- Enterprise trialFree
- Memgraph CloudFree
- Enterprise EditionPriced on request
- Enterprise Edition — AI PlatformPriced on request
- Enterprise Edition — Graph AnalyticsPriced on request
- OEM / SaaS licencePriced on request
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.
Memgraph
Memgraph is an in-memory graph database platform for graph computations on streaming data. It supports Cypher and lists Kafka, Pulsar, and Redpanda as streaming connectors. Its free Community Edition includes ACID transactions, on-disk persistence, high-availability replication, and vector search. MAGE adds more than 60 graph algorithms, with integrations for NetworkX, igraph, and cuGraph. Memgraph Lab provides a visual interface for querying, managing, importing, and visualizing graph data; it also supports natural-language queries through GraphChat. Programmatic drivers are listed for Python, C/C++, Rust, Node.js, C#, Go, Haskell, Java, JavaScript, PHP, and Ruby. Enterprise features include role- and label-based access controls, SSO, LDAP/PAM authentication, TLS encryption in transit, audit logging, failover, replication, disaster recovery, no-downtime updates, and monitoring. Community support is available through Discord; Enterprise includes direct engineering support through a dedicated Slack channel. Memgraph Cloud is managed and hosted on AWS in six regions, with instances from 1 GB to 32 GB RAM. Community Edition is free forever. Enterprise plans have unlisted prices that scale by memory capacity or graph data capacity, depending on the edition, and the Enterprise trial lasts 30 days.