vs

Dydra vs Graphwise GraphDB (Ontotext)

Dydra: Hosted RDF triple store with SPARQL 1.1, valid-time indexing and an MCP endpoint on every repository. Graphwise GraphDB (Ontotext): Standards-compliant RDF triplestore with reasoning, connectors and MCP support for GraphRAG.

key differences

  • Horizontal scaling is native in Dydra and none in Graphwise GraphDB (Ontotext).
  • Transactions: Dydra offers limited ACID; Graphwise GraphDB (Ontotext) offers full.
  • Only Dydra has joins, secondary indexes, time travel.
  • Only Graphwise GraphDB (Ontotext) has transactions, full-text search, vector search, geospatial, encryption at rest.
  • Dydra has a serverless option; Graphwise GraphDB (Ontotext) does not.

choose dydra for

  • +Hosted linked-data and knowledge-graph backends
  • +Publishing RDF datasets with a public SPARQL endpoint
  • +Time-windowed queries over sensor or tick data modelled as RDF
  • +Giving LLM agents structured access to a knowledge graph

best at · Knowledge graph, Traversal, Time-series

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

overview
Primary model
RDF / Triple Store
RDF / Triple Store
Also supports
Graph
Graph
Type
Managed service
Database engine
Status
Active
Active
Developer
Datagraph GmbH
Graphwise
First release
2010
2014
Latest version
–
11.5.2 (Oct 16, 2026)
License
ProprietaryProprietary (hosted service)
ProprietaryProprietary (Free and Enterprise editions)
Free tier
✓
✓
popularity
WhichDB Score
0.0
15.6
Rank
#721
#208
GitHub stars
–
–
Stack Overflow questions
–
557
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Medium (≤ 10 TB)
Horizontal scaling
Native
None
Multi-region
None
None
ACID
Limited
Full
Consistency
Strong
Strong
Schema
Schemaless
Flexible
Architecture
Serverless, Distributed
Single node, Primary replica, 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 1.1, GraphQL, score
SPARQL, GraphQL
Client languages
Ruby, Python, JavaScript, Java, Clojure, Common Lisp
Java (RDF4J), Python, JavaScript
Best for
Knowledge graph, Traversal, Time-series
Knowledge graph, RAG, Metadata, Content

Dydra vs Graphwise GraphDB (Ontotext): FAQ

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

Dydra: Hosted RDF triple store with SPARQL 1.1, valid-time indexing and an MCP endpoint on every repository. Graphwise GraphDB (Ontotext): Standards-compliant RDF triplestore with reasoning, connectors and MCP support for GraphRAG. Horizontal scaling is native in Dydra and none in Graphwise GraphDB (Ontotext). Transactions: Dydra offers limited ACID; Graphwise GraphDB (Ontotext) offers full. Only Dydra has joins, secondary indexes, time travel.

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

Choose Dydra for hosted linked-data and knowledge-graph backends; publishing RDF datasets with a public SPARQL endpoint; and time-windowed queries over sensor or tick data modelled as RDF. Choose Graphwise GraphDB (Ontotext) for enterprise knowledge graphs; publishing and media content metadata; and life-sciences data integration.

Is Dydra or Graphwise GraphDB (Ontotext) more popular?

Graphwise GraphDB (Ontotext) ranks #208 on the WhichDB Score (15.6/100) and Dydra ranks #721 (0.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Dydra and Graphwise GraphDB (Ontotext) open source?

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