GraphDB is a semantic graph database that uses RDF and SPARQL to connect business data and support real-time AI insights. Its reasoning and semantic search work across connected data to derive insights. Free and Enterprise editions support RDF 1.1, SPARQL 1.1, RDF-Star, SPARQL-Star, and reasoning for RDFS, OWL 2 RL, and OWL 2 QL. Listed AI features include GraphRAG, MCP support, no-code RAG chat in Workbench, precision entity linking, and natural-language graph queries from LangChain. Integrations include MongoDB, Kafka, JDBC, GraphQL, SQL-accessible data virtualization, and connectors for Lucene, Elasticsearch, and Solr. GraphDB Free has a single-core license; Enterprise supports twelve or more cores and features such as parallel query processing, cluster failover, synchronization, and load balancing. Starting with version 11.0.0, every edition requires a valid license, which can be requested at no cost. Enterprise is available on-premise or as a 12-core cluster SaaS on AWS Marketplace and Microsoft Azure Marketplace. GraphDB Free costs 0.00 USD per free; Enterprise pricing is custom and not listed.
Who it is for
GraphDB suits teams connecting fragmented data with RDF and SPARQL or building applications around semantic reasoning. Free is limited to a single core; organizations needing twelve or more cores can consider Enterprise.
What is good
- Free edition has no listed charge
- Supports RDF and SPARQL standards
- Includes GraphRAG and natural-language graph queries
- Connects to MongoDB, Kafka, JDBC, and GraphQL
- Enterprise can run on-premise or as SaaS
What to know first
- Free edition is limited to a single core
- A valid license is required from version 11.0.0
- Enterprise pricing is custom and not listed
Verdict
GraphDB combines semantic data modeling and reasoning with a range of listed AI capabilities and integrations. The Free edition is single-core, and all editions from 11.0.0 require a valid license request.
GraphDB plans and pricing
All plansCompared on knowledge graph software
- Free plan
- Yes
- Ontology modeling
- Yes
- Semantic reasoning
- Yes
- RDF/SPARQL support
- Yes
- Graph visualization
- Yes
- Import formats
- Turtle, Turtle-star, N-Triples, N-Quads, JSON-LD, NDJSON-LD, RDF/JSON, RDF/XML, TriX, TriG-star, BinaryRDF
- Deployment
- both
- Query languages
- SPARQL
