Graphwise GraphDB (Ontotext)
activeby Graphwise · since 2014 · also known as GraphDB, Ontotext GraphDB, OWLIM
Standards-compliant RDF triplestore with reasoning, connectors and MCP support for GraphRAG.
Overview
GraphDB is an RDF database and SPARQL 1.1 engine built on Eclipse RDF4J, descended from Ontotext's OWLIM. It does forward-chaining inference (RDFS, OWL 2 RL/QL and custom rules) at load time, and connectors keep Elasticsearch, OpenSearch, Solr or Lucene indexes in sync for full-text search. Ontotext merged with Semantic Web Company in 2024 to form Graphwise, and GraphDB 11 added GraphQL, an MCP server and LLM integrations aimed at GraphRAG. It is one of the most complete enterprise triplestores, with a free edition for smaller deployments and a commercial cluster for HA.
Strengths & trade-offs
Strengths
- +Mature forward-chaining reasoning over RDFS and OWL 2 profiles with incremental retraction
- +Connectors keep external full-text indexes synchronized with the graph
- +Full W3C stack: SPARQL 1.1, SHACL validation, GeoSPARQL, RDF-star
- +MCP server and LLM integrations make it easy to plug into agent and GraphRAG pipelines
Trade-offs
- −Cluster replicates data, so dataset size is bounded by a single node
- −Materialized inference inflates storage and slows bulk loads with complex rulesets
- −Commercial license required for HA clustering
- −RDF modeling and SPARQL have a learning curve for property-graph teams
Great for
- +Enterprise knowledge graphs
- +Publishing and media content metadata
- +Life-sciences data integration
- +Taxonomy and ontology-backed search
- +GraphRAG over curated domain knowledge
Think twice for
- −Property-graph apps written in Cypher
- −High-throughput OLTP
- −Graphs too large for one node
Capabilities
Native or official first-party support · 9 of 25 tracked
Scale & consistency
- Comfortable data size
- Medium · ≤ 10 TB
- Horizontal scaling
- None
- Multi-region
- No
- Transactions
- Full ACID
- Consistency
- Strong
- Schema
- Flexible
- Architecture
- Single node, Primary replica, Client server
- Query languages
- SPARQL, GraphQL
Raft-based cluster replicates full repositories for HA and read scale; tens of billions of triples per node.
Deployment
available on · AWS · Azure
Ecosystem
Alternatives to Graphwise GraphDB (Ontotext)
Enterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources.
ontotext-graphdb vs stardog →Lisp-built RDF and document knowledge graph with vector store, reasoning and LLM agents.
ontotext-graphdb vs allegrograph →Hybrid SQL/RDF engine that runs many of the largest public SPARQL endpoints.
ontotext-graphdb vs virtuoso →Apache Jena's native RDF store, embeddable in Java or served over SPARQL with Fuseki.
ontotext-graphdb vs apache-jena-tdb →In-memory RDF store with incremental Datalog reasoning, now owned by Samsung.
ontotext-graphdb vs rdfox →AWS's managed graph database speaking Gremlin, openCypher and SPARQL on shared storage.
ontotext-graphdb vs amazon-neptune →Graphwise GraphDB (Ontotext) FAQ
What is Graphwise GraphDB (Ontotext)?
Graphwise GraphDB (Ontotext) is a RDF / triple store database by Graphwise, first released in 2014. GraphDB is an RDF database and SPARQL 1.1 engine built on Eclipse RDF4J, descended from Ontotext's OWLIM. It does forward-chaining inference (RDFS, OWL 2 RL/QL and custom rules) at load time, and connectors keep Elasticsearch, OpenSearch, Solr or Lucene indexes in sync for full-text search. Ontotext merged with Semantic Web Company in 2024 to form Graphwise, and GraphDB 11 added GraphQL, an MCP server and LLM integrations aimed at GraphRAG. It is one of the most complete enterprise triplestores, with a free edition for smaller deployments and a commercial cluster for HA.
Is Graphwise GraphDB (Ontotext) open source?
No. Graphwise GraphDB (Ontotext) is proprietary, closed-source software.
Does Graphwise GraphDB (Ontotext) support ACID transactions?
Yes. Graphwise GraphDB (Ontotext) supports full ACID transactions, with strong consistency.
Does Graphwise GraphDB (Ontotext) scale horizontally?
Graphwise GraphDB (Ontotext) does not scale horizontally; it runs on a single node, so you scale it up rather than out. It is comfortable at medium scale (≤ 10 TB).
How can I run Graphwise GraphDB (Ontotext)?
You can self-host it. It is available on AWS and Azure.
What is Graphwise GraphDB (Ontotext) best for?
Graphwise GraphDB (Ontotext) is a strong fit for enterprise knowledge graphs; publishing and media content metadata; and life-sciences data integration. Think twice for property-graph apps written in Cypher.
What are the best alternatives to Graphwise GraphDB (Ontotext)?
Common alternatives to Graphwise GraphDB (Ontotext) include Stardog, AllegroGraph, OpenLink Virtuoso, Apache Jena TDB and RDFox. The right choice depends on your workload, scale and hosting; WhichDB's smart match ranks them against your requirements.
How popular is Graphwise GraphDB (Ontotext)?
Graphwise GraphDB (Ontotext) ranks #208 of 844 databases on the WhichDB Score (15.6/100), and #5 among RDF / triple store databases. The score combines public adoption signals such as package downloads, GitHub activity, job posts and developer discussion.