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GraphBase vs Stardog

GraphBase: FactNexus's commercial graph DBMS that treats whole graphs as transactional units for knowledge graphs. Stardog: Enterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources.

key differences

  • GraphBase is primarily a graph database; Stardog is RDF / triple store.
  • Horizontal scaling is native in GraphBase and none in Stardog.
  • Only GraphBase has stored procedures.
  • Only Stardog has full-text search, geospatial, role-based access, online schema changes.

choose graphbase for

  • +Enterprise knowledge graphs
  • +Graph-backed retrieval for LLM applications
  • +Modelling complex interconnected reference data

best at · Knowledge graph, Traversal, RAG

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

GraphBaseFactNexus's commercial graph DBMS that treats whole graphs as transactional units for knowledge graphs.
StardogEnterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources.
overview
Primary model
Graph
RDF / Triple Store
Also supports
RDF / Triple Store
Graph
Type
Database engine
Database engine
Status
Active
Active
Developer
FactNexus Pty Ltd
Stardog Union
First release
2017
2012
Latest version
–
12.2.1 (Oct 26, 2026)
License
ProprietaryProprietary
ProprietaryProprietary (free 1-year renewable license available)
Free tier
—
✓
popularity
WhichDB Score
0.0
12.7
Rank
#747
#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
Full
Full
Consistency
Strong
Strong
Schema
Flexible
Flexible
Architecture
Distributed, Client server
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
GraphBase bounding queries, Visual query builder
SPARQL, GraphQL, SQL, Stardog Rules
Client languages
Java
Java, Python, JavaScript, .NET
Best for
Knowledge graph, Traversal, RAG
Knowledge graph, Metadata, RAG, Traversal
Add more to this comparisonNot sure either fits? Try smart match

GraphBase vs Stardog: FAQ

What is the difference between GraphBase and Stardog?

GraphBase: FactNexus's commercial graph DBMS that treats whole graphs as transactional units for knowledge graphs. Stardog: Enterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources. GraphBase is primarily a graph database; Stardog is RDF / triple store. Horizontal scaling is native in GraphBase and none in Stardog. Only GraphBase has stored procedures.

When should I choose GraphBase over Stardog?

Choose GraphBase for enterprise knowledge graphs, graph-backed retrieval for LLM applications and modelling complex interconnected reference data. Choose Stardog for enterprise data fabric and semantic layer; life-sciences and pharma knowledge graphs; and regulatory and compliance data integration.

Is GraphBase or Stardog more popular?

Stardog ranks #265 on the WhichDB Score (12.7/100) and GraphBase ranks #747 (0.0/100). Popularity is not fit: check the requirements that matter for your project.

Are GraphBase and Stardog open source?

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