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Eclipse RDF4J vs FalkorDB

Eclipse RDF4J

rdf4j.org

FalkorDB

falkordb.com

Side by side

FigureEclipse RDF4JFalkorDB
Price fromFree$73/mo
Free planYesYes
Free trial——
Open sourceYes—
WebYesYes
WindowsYes—
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published14
Spec score · Graph Databases8.8 (#4)9.1 (#2)
Documentation depthDocumentation includes getting-started tutorials, programming guides, reference material, tool manuals, release notes and JavaDoc links.The documentation covers setup, graph modeling, querying, indexes, protocols, clients, GraphRAG and Docker ports 6379 and 3000.
Founded2015LinkedIn lists FalkorDB's founding year as 2023.
IntegrationsDocumented compatible systems include GraphDB, Halyard, Stardog, Amazon Neptune, Blazegraph, Oracle RDF, MarkLogic, Strabon and Virtuoso.Official materials list Graphiti, LangChain, LlamaIndex, Cognee, g.v(), OpenAI, Gemini, Google Cloud, Azure, Grafana, Docker, Snowflake and Model Context Protocol integrations or ecosystem connections.
Intended usersThe site presents RDF4J as a framework for Java developers building applications with RDF, Linked Data, SPARQL endpoints, and Semantic Web data.The company describes FalkorDB as designed for development teams working with interconnected data in real-time or interactive environments.
LicenseThe project states that Eclipse RDF4J is licensed under the Eclipse Distribution License version 1.0.The documentation states FalkorDB is licensed under Server Side Public License v1 (SSPLv1).
SecurityThe Eclipse project page links to the Eclipse Foundation vulnerability reporting channel.The Trust Center says customer data is encrypted at rest and in transit, with encryption keys rotated annually.
Self-hostingRDF4J Server and Workbench are deployable as web applications, with documentation covering Tomcat installation and repository configuration.Users can run FalkorDB locally with Docker or self-host it with an enterprise management console.
StorageRDF4J includes a transactional in-memory store with optional disk persistence and a transactional Native Store that targets medium-sized datasets around 100 million triples.FalkorDB stores graphs as sparse adjacency matrices for compact storage and fast traversal.
What it doesEclipse RDF4J is a modular Java framework for parsing, storing, inferring and querying RDF data.FalkorDB is a Redis-based property graph database designed for knowledge graphs, GraphRAG, agent memory, fraud detection and connected-data applications.

Plans

Eclipse RDF4J

  • Eclipse RDF4JFree

Eclipse RDF4J pricing →

FalkorDB

  • FREEFree
  • STARTUP$73 a month
  • PRO$350 a month
  • ENTERPRISEPriced on request

FalkorDB pricing →

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.

Visit rdf4j.org

FalkorDB

FalkorDB has no write-up on Specifiction yet; its figures are above.

Visit falkordb.com