MindsDB Query Engine vs Stardog
MindsDB Query Engine
github.com
Stardog
stardog.comSide by side
| Figure | MindsDB Query Engine | Stardog |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 5 |
| Spec score · Data Federation Software | 8.1 (#7) | 8.4 (#4) |
| 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. |
| Support | The project points users to Discord for questions, GitHub Issues for bugs, and team contact for commercial support. | Enterprise licenses include base support, a dedicated Customer Success representative, and access to Solutions Architects. |
Plans
Stardog
- Stardog Cloud FreeFree
- Stardog FreeFree
- Stardog FreeFree
- Stardog Cloud EnterprisePriced on request
- Stardog EnterprisePriced on request
In their own words
MindsDB Query Engine
MindsDB Query Engine provides SQL access to connected data sources and semantic search, including for AI agents that need live, queryable data. It connects to more than 200 sources and runs federated queries against them in place, using one SQL dialect without copying data or using ETL pipelines. Listed source examples include PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, S3, and Slack. Users can work in an HTTP SQL editor or connect clients such as DBeaver and SQLAlchemy through MySQL and PostgreSQL wire protocols. For unstructured content, knowledge bases pair an embedding model with a vector store and, optionally, a reranking model. Hybrid search combines vector similarity with BM25 keyword matching. Projects organize work, views preserve cross-source transformations, and scheduled jobs run SQL at intervals. Deployment options include Docker and PyPI installation. The engine is available for Linux, web, API, and self-hosted use. The free plan is listed at free; MindsDB Core uses the Elastic License 2.0, and some repository directories have separate licenses.