MindsDB Query Engine
6.1#11 in data federation softwareFree planFree planWebAPILinuxSelf-hosted
VisitMindsDB Query Engine vs Stardog
What both publish
| Fact | MindsDB Query Engine | Stardog |
|---|---|---|
| Deployment | The project documents running the engine with Docker or installing it from PyPI. | Stardog can run as a managed AWS cloud service, in customer cloud environments, or on premises through Docker, Kubernetes, AWS Marketplace, and Azure Marketplace. |
| Founded | 2018 | 2006 |
| Headquarters | Berkeley, California, United States | New York, New York, United States |
| Integrations | The README names databases, warehouses, applications, and files as source categories and gives PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, S3, and Slack as examples. | Connectors cover databases including Snowflake, BigQuery, Oracle, PostgreSQL, MongoDB, Elasticsearch, Salesforce, Jira, Splunk, and REST sources. |
| License | MindsDB Core is licensed under Elastic License 2.0, and the repository notes that some directories have their own licenses. | Stardog Free is proprietary, licensed software and the pricing FAQ explicitly says it is not open source. |
| Purpose | MindsDB Query Engine provides semantic search over data through SQL and connects to more than 200 data sources. | Stardog connects enterprise data into a semantic layer for AI, analytics, search, and applications. |
MindsDB Query Engine plans
- Open-source Query EngineFree
Stardog plans
- Stardog Cloud FreeFree
- Stardog FreeFree
- Stardog Cloud EnterprisePriced on request
- Stardog EnterprisePriced on request
Pick MindsDB Query Engine if…
It suits teams or developers who want to query connected data sources with SQL or add semantic search to data workflows. The project also describes use by AI agents needing live, queryable data access.
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.