vs

AllegroGraph vs Stardog

AllegroGraph: Lisp-built RDF and document knowledge graph with vector store, reasoning and LLM agents. Stardog: Enterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources.

key differences

  • AllegroGraph is built for larger datasets (≤ 1 PB) than Stardog (≤ 10 TB).
  • Horizontal scaling is native in AllegroGraph and none in Stardog.
  • Only AllegroGraph has vector search, json, stored procedures, encryption at rest.

choose allegrograph for

  • +Neuro-symbolic AI and GraphRAG
  • +Healthcare and life-sciences knowledge graphs
  • +Intelligence and event analytics with spatio-temporal reasoning
  • +Entity-event knowledge graphs

best at · Knowledge graph, RAG, Vector search

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
Document, Vector
Graph
Type
Database engine
Database engine
Status
Active
Active
Developer
Franz Inc.
Stardog Union
First release
2004
2012
Latest version
9.1.0 (Oct 15, 2026)
12.2.1 (Oct 26, 2026)
License
ProprietaryProprietary (free edition with triple limit)
ProprietaryProprietary (free 1-year renewable license available)
Free tier
✓
✓
popularity
WhichDB Score
16.1
12.7
Rank
#200
#265
GitHub stars
–
–
Stack Overflow questions
79
97
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Medium (≤ 10 TB)
Horizontal scaling
Native
None
Multi-region
Read replicas
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Flexible
Flexible
Architecture
Single node, Distributed, Client server
Single node, Primary replica, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS
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, Prolog, Lisp
SPARQL, GraphQL, SQL, Stardog Rules
Client languages
Java, Python, JavaScript, Common Lisp
Java, Python, JavaScript, .NET
Best for
Knowledge graph, RAG, Vector search, Geo
Knowledge graph, Metadata, RAG, Traversal

AllegroGraph vs Stardog: FAQ

What is the difference between AllegroGraph and Stardog?

AllegroGraph: Lisp-built RDF and document knowledge graph with vector store, reasoning and LLM agents. Stardog: Enterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources. AllegroGraph is built for larger datasets (≤ 1 PB) than Stardog (≤ 10 TB). Horizontal scaling is native in AllegroGraph and none in Stardog. Only AllegroGraph has vector search, json, stored procedures, encryption at rest.

When should I choose AllegroGraph over Stardog?

Choose AllegroGraph for neuro-symbolic AI and GraphRAG; healthcare and life-sciences knowledge graphs; and intelligence and event analytics with spatio-temporal reasoning. Choose Stardog for enterprise data fabric and semantic layer; life-sciences and pharma knowledge graphs; and regulatory and compliance data integration.

Is AllegroGraph or Stardog more popular?

AllegroGraph ranks #200 on the WhichDB Score (16.1/100) and Stardog ranks #265 (12.7/100). Popularity is not fit: check the requirements that matter for your project.

Are AllegroGraph and Stardog open source?

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