Ontotext GraphDB / Graphwise
RDF store with real-time inference. Ontotext merged with PoolParty in 2025 to form Graphwise.
At a glance
- Type
- RDF store + real-time inference
- Tier
- T1
- Section
- Knowledge-graph platforms
- Created
- 2008
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Enterprise only
- Funding
- ~€41M total (€30M valuation + €11M invested by Integral/PortfoLion/Carpathian/EBRD in 2022-2023)
Taxonomy
- storage
- graph
- retrieval
- graph-traversal
- persistence
- long-term
- update
- overwrite
- unit
- fact
- governance
- auditable
- conflict
- overwrite
When to use
Optimised for: relationship modeling + reasoning + governance over pure vector
Anti-fit: not for purely-vector or simple-RAG use cases (graph adds setup cost)
Pros & cons
Pros
Best-in-class RDF / SPARQL engine with native reasoning; long-running European / public-sector adoption.
Cons
Property-graph workloads are not a strength; smaller user base than Neo4j.
Claims & capabilities
First triplestore to pass both LDBC SNB Interactive (1.5B edges, SF30) and Semantic Publishing benchmarks; merged with Semantic Web Company to form Graphwise (October 2024) — combined customer count >200 across PoolParty + GraphDB
Technical surface
- API surface
- REST + SPARQL 1.1 endpoint + RDF4J Workbench
- Backend storage
- custom (RDF triple store)
- Deployment
- Both
- Embedding model
- BYO
- Multi-tenancy
- hard-isolation
- MCP
- no first-party MCP adapter published as of 2026-05; community connectors may exist.
- A2A
- no Google A2A (Agent2Agent) integration documented as of 2026-05.
- OpenTelemetry
- first-class — Prometheus / OTel
Similar systems
Other knowledge-graph platforms in the catalog, ranked by inbound references.
- Neo4j T1
Property graph DB with Cypher; native vector search; Aura Agent + MCP server for graph-as-memory. $100M GenAI investment in 2025.
- Amazon Neptune Analytics T1
Vector index on graph nodes queryable via openCypher. Mem0 integration GA 2025; Cognee integration for agentic RAG. Combines semantic recall with multi-hop traversal in one managed service.
- AllegroGraph (Franz) T1
RDF triple/quad store with RDFS++ / OWL reasoning. v8.4 (May 2025) added an NLQ interface.
- Apache AGE T2
openCypher over Postgres. Pairs with pgvector for graph + vector hybrid retrieval. Azure Database for PostgreSQL ships AGE with ai_extension LLM functions for entity extraction directly in SQL.
- ArangoDB T1
HybridGraphRAG combines vector search, graph traversal, full-text in one AQL query. ArangoGraphML for ML pipelines; LangChain integration.
- Dgraph T2
Vector indexing on any node. Google Gen AI Toolbox integration; LangChain agent orchestration.