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Graphwise GraphDB (Ontotext) vs RDFox

Graphwise GraphDB (Ontotext): Standards-compliant RDF triplestore with reasoning, connectors and MCP support for GraphRAG. RDFox: In-memory RDF store with incremental Datalog reasoning, now owned by Samsung.

key differences

  • Only Graphwise GraphDB (Ontotext) has full-text search, vector search, geospatial, encryption at rest, online schema changes.
  • Only RDFox has in-memory.
  • RDFox can run embedded in your application process.

choose ontotext-graphdb for

  • +Enterprise knowledge graphs
  • +Publishing and media content metadata
  • +Life-sciences data integration
  • +Taxonomy and ontology-backed search

best at · Knowledge graph, RAG, Metadata

choose rdfox for

  • +Rule-based decision and compliance engines
  • +On-device personal knowledge graphs
  • +Real-time knowledge-graph reasoning
  • +Product configuration and validation

best at · Knowledge graph, Embedded, Edge

Graphwise GraphDB (Ontotext)Standards-compliant RDF triplestore with reasoning, connectors and MCP support for GraphRAG.
RDFoxIn-memory RDF store with incremental Datalog reasoning, now owned by Samsung.
overview
Primary model
RDF / Triple Store
RDF / Triple Store
Also supports
Graph
–
Type
Database engine
Database engine
Status
Active
Active
Developer
Graphwise
Oxford Semantic Technologies (Samsung Electronics)
First release
2014
2017
Latest version
11.5.2 (Oct 16, 2026)
7.7 (Sep 29, 2026)
License
ProprietaryProprietary (Free and Enterprise editions)
ProprietaryProprietary
Free tier
✓
—
popularity
WhichDB Score
15.6
3.4
Rank
#208
#438
GitHub stars
–
–
Stack Overflow questions
557
6
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Medium (≤ 10 TB)
Horizontal scaling
None
None
Multi-region
None
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Flexible
Schemaless
Architecture
Single node, Primary replica, Client server
In memory, Single node, Embedded, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
—
✓
Edge
—
✓
Clouds
AWS, Azure
–
capabilities
Transactions
✓
✓
Joins
—
—
Secondary indexes
—
—
Full-text search
✓
—
Vector search
✓
—
Geospatial
✓
—
JSON
—
—
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
✓
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
✓
—
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
✓
—
Streaming ingest
✓
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SPARQL, GraphQL
SPARQL, Datalog, OWL 2 RL
Client languages
Java (RDF4J), Python, JavaScript
Java, C++, Python (REST)
Best for
Knowledge graph, RAG, Metadata, Content
Knowledge graph, Embedded, Edge, Real-time analytics
Add more to this comparisonNot sure either fits? Try smart match

Graphwise GraphDB (Ontotext) vs RDFox: FAQ

What is the difference between Graphwise GraphDB (Ontotext) and RDFox?

Graphwise GraphDB (Ontotext): Standards-compliant RDF triplestore with reasoning, connectors and MCP support for GraphRAG. RDFox: In-memory RDF store with incremental Datalog reasoning, now owned by Samsung. Only Graphwise GraphDB (Ontotext) has full-text search, vector search, geospatial, encryption at rest, online schema changes. Only RDFox has in-memory. RDFox can run embedded in your application process.

When should I choose Graphwise GraphDB (Ontotext) over RDFox?

Choose Graphwise GraphDB (Ontotext) for enterprise knowledge graphs; publishing and media content metadata; and life-sciences data integration. Choose RDFox for rule-based decision and compliance engines; on-device personal knowledge graphs; and real-time knowledge-graph reasoning.

Is Graphwise GraphDB (Ontotext) or RDFox more popular?

Graphwise GraphDB (Ontotext) ranks #208 on the WhichDB Score (15.6/100) and RDFox ranks #438 (3.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Graphwise GraphDB (Ontotext) and RDFox open source?

No. Graphwise GraphDB (Ontotext) is proprietary, closed-source software. No. RDFox is proprietary, closed-source software.