GraphDB
6.6#6 in rdf databasesFree planFree planWebAPILinuxmacOS
VisitGraphDB vs Stardog
What both publish
| Fact | GraphDB | Stardog |
|---|---|---|
| AI features | The product page describes native GraphRAG and LangChain integration. | Stardog Voicebox uses large language models for knowledge-graph modeling, maintenance, and query writing, while built-in machine learning provides similarity search and predictive analytics. |
| Connectors | GraphDB Enterprise includes Elasticsearch, OpenSearch, Solr, and Kafka connectors; GraphDB Free includes Lucene. | Stardog connects to more than 80 enterprise sources and offers a generic REST connector for bespoke applications. |
| Deployment | GraphDB can run as a desktop or standalone server application and is also available on AWS and Azure. | Stardog can run as a managed AWS cloud service, in customer cloud environments, or on premises through Docker, Kubernetes, AWS Marketplace, and Azure Marketplace. |
| Headquarters | The company privacy policy lists ONTOTEXT AD, doing business as Graphwise, with headquarters in Sofia, Bulgaria. | New York, New York, United States |
GraphDB plans
- GraphDB FreeFree
- GraphDB EnterprisePriced on request
Stardog plans
- Stardog Cloud FreeFree
- Stardog FreeFree
- Stardog Cloud EnterprisePriced on request
- Stardog EnterprisePriced on request
Pick GraphDB if…
GraphDB suits teams building semantic data systems that need RDF storage, SPARQL queries, or inferencing. Free is an option for users who can work within its query and repository limits; Enterprise is intended for mission-critical deployments and enterprise AI applications.
Pick Stardog if…
Stardog suits organizations that need to unify data across cloud and on-premises sources for analytics, AI, search, or applications. It is also relevant to teams that need graph-based data modeling, standards-based querying, and deployment options spanning managed cloud and self-hosting.