RDFox vs Stardog

RDFox: In-memory RDF store with incremental Datalog reasoning, now owned by Samsung. Stardog: Enterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources.

key differences

Only RDFox has in-memory.
Only Stardog has full-text search, geospatial, online schema changes.
RDFox can run embedded in your application process.

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

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

RDFoxIn-memory RDF store with incremental Datalog reasoning, now owned by Samsung.

StardogEnterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources.

overview

Primary model

RDF / Triple Store

Also supports

–

Graph

Type

Database engine

Status

Active

Developer

Oxford Semantic Technologies (Samsung Electronics)

Stardog Union

First release

2017

2012

Latest version

7.7 (Sep 29, 2026)

12.2.1 (Oct 26, 2026)

License

ProprietaryProprietary

ProprietaryProprietary (free 1-year renewable license available)

Free tier

—

✓

popularity

WhichDB Score

3.4

12.7

Rank

#438

#265

GitHub stars

–

Stack Overflow questions

scale & guarantees

Comfortable data size

Medium (≤ 10 TB)

Horizontal scaling

None

Multi-region

None

ACID

Full

Consistency

Strong

Schema

Schemaless

Flexible

Architecture

In memory, Single node, Embedded, 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

SPARQL, Datalog, OWL 2 RL

SPARQL, GraphQL, SQL, Stardog Rules

Client languages

Java, C++, Python (REST)

Java, Python, JavaScript, .NET

Best for

Knowledge graph, Embedded, Edge, Real-time analytics

Knowledge graph, Metadata, RAG, Traversal

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RDFox vs Stardog: FAQ

What is the difference between RDFox and Stardog?

RDFox: In-memory RDF store with incremental Datalog reasoning, now owned by Samsung. Stardog: Enterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources. Only RDFox has in-memory. Only Stardog has full-text search, geospatial, online schema changes. RDFox can run embedded in your application process.

When should I choose RDFox over Stardog?

Choose RDFox for rule-based decision and compliance engines; on-device personal knowledge graphs; and real-time knowledge-graph reasoning. Choose Stardog for enterprise data fabric and semantic layer; life-sciences and pharma knowledge graphs; and regulatory and compliance data integration.

Is RDFox or Stardog more popular?

Stardog ranks #265 on the WhichDB Score (12.7/100) and RDFox ranks #438 (3.4/100). Popularity is not fit: check the requirements that matter for your project.

Are RDFox and Stardog open source?

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