Graph databases & knowledge graphs · Stardog Union

Stardog

Enterprise RDF knowledge-graph platform using SPARQL, with OWL/RDFS reasoning and federation over relational sources.

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Stardog is an RDF triple store and knowledge-graph platform rather than a property-graph database: data is modeled as subject-predicate-object triples and queried with SPARQL, with built-in OWL and RDFS reasoning that can infer new facts from ontologies rather than only storing explicit relationships. Its Virtual Graphs feature lets SPARQL queries federate live across relational databases without first copying the data in, which suits organizations building a knowledge layer over existing systems rather than replacing them. Stardog Free is a proprietary, renewable one-year license usable commercially but without high availability, caching, backups or the full connector set; Stardog Enterprise adds those plus dedicated support and runs on-premises or in the cloud. It targets data integration, master data management and semantic-search use cases where reasoning and provenance matter more than raw traversal speed.

At a glance

Vendor Stardog Union
Pricing model Free tier + paid plans
Free tier Yes
Deployment Cloud, Self-hosted
Open source No
Best for Organizations building a reasoning-capable knowledge graph across existing relational systems without full data migration.

Pricing

Stardog Free is a renewable one-year license with reduced features; Enterprise pricing is quoted after a consultation.

Plan Price Notes
Stardog Free $0 renewable 1-year license, commercial use allowed, community support only, no HA/backups/full connectors
Stardog Enterprise custom quote high availability, caching, backups, LDAP, full connectors, dedicated support

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • SPARQL query language over RDF triples
  • OWL/RDFS reasoning and inference
  • Virtual Graphs federate live relational sources
  • Stardog Designer for ontology and model building
  • Full-text and geospatial search
  • Data provenance and versioning
  • Role-based access control

Integrations

Profile last reviewed September 21, 2026

Alternatives

Ontotext GraphDB RDF4J-compliant semantic graph database using SPARQL with OWL/RDFS reasoning, built for enterprise knowledge graphs. Amazon Neptune Fully managed AWS graph database supporting both property-graph (Gremlin, openCypher) and RDF (SPARQL) query models. Neo4j Native property-graph database using Cypher, the language behind the new ISO GQL standard, for relationship-heavy analytics.

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Terms to know

Data lineage A traceable record of where data came from, how it was transformed, and where it is used downstream. Master data management (MDM) The discipline of maintaining one authoritative, consistent record for core entities like customers or products. Data modeling The practice of organizing data into entities, relationships and schemas that make it accurate and efficient to query. Knowledge graph A network of entities and the labeled relationships between them, used to represent and query structured knowledge. Role-based access control (RBAC) Granting data or system permissions based on a user's assigned role rather than configuring access for each person individually. Data provenance The documented history of where a dataset came from and every transformation applied to it before its current state.

Related guides

How to choose a graph database Decide property graph vs RDF first, then managed vs self-hosted and how the engine scales — the query language follows from those, not the other way round.