vs

Dydra vs Stardog

Dydra: Hosted RDF triple store with SPARQL 1.1, valid-time indexing and an MCP endpoint on every repository. Stardog: Enterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources.

key differences

  • Horizontal scaling is native in Dydra and none in Stardog.
  • Transactions: Dydra offers limited ACID; Stardog offers full.
  • Only Dydra has joins, secondary indexes, time travel.
  • Only Stardog has transactions, full-text search, geospatial, online schema changes.
  • Dydra has a serverless option; Stardog 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 stardog for

  • +Enterprise data fabric and semantic layer
  • +Life-sciences and pharma knowledge graphs
  • +Regulatory and compliance data integration
  • +Natural-language question answering over enterprise data

best at · Knowledge graph, Metadata, RAG

overview
Primary model
RDF / Triple Store
RDF / Triple Store
Also supports
Graph
Graph
Type
Managed service
Database engine
Status
Active
Active
Developer
Datagraph GmbH
Stardog Union
First release
2010
2012
Latest version
–
12.2.1 (Oct 26, 2026)
License
ProprietaryProprietary (hosted service)
ProprietaryProprietary (free 1-year renewable license available)
Free tier
✓
✓
popularity
WhichDB Score
0.0
12.7
Rank
#721
#265
GitHub stars
–
–
Stack Overflow questions
–
97
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, SQL, Stardog Rules
Client languages
Ruby, Python, JavaScript, Java, Clojure, Common Lisp
Java, Python, JavaScript, .NET
Best for
Knowledge graph, Traversal, Time-series
Knowledge graph, Metadata, RAG, Traversal

Dydra vs Stardog: FAQ

What is the difference between Dydra and Stardog?

Dydra: Hosted RDF triple store with SPARQL 1.1, valid-time indexing and an MCP endpoint on every repository. Stardog: Enterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources. Horizontal scaling is native in Dydra and none in Stardog. Transactions: Dydra offers limited ACID; Stardog offers full. Only Dydra has joins, secondary indexes, time travel.

When should I choose Dydra over Stardog?

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 Stardog for enterprise data fabric and semantic layer; life-sciences and pharma knowledge graphs; and regulatory and compliance data integration.

Is Dydra or Stardog more popular?

Stardog ranks #265 on the WhichDB Score (12.7/100) and Dydra ranks #721 (0.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Dydra and Stardog open source?

No. Dydra is proprietary, closed-source software. No. Stardog is proprietary, closed-source software.