MindsDB
AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
Maintained, but at a slower pace than the leaders in its category.
Commit activity more than 76% of tracked projects; popularity more than 94%. How this is calculated.
Commits, last 11 months
| Stars | 40k |
|---|---|
| Latest release | v26.1.0 · 23 Apr 2026 |
| Repo updated | 10 Sept 2026 |
| Licence | Elastic-2.0 |
| Built with | Docker, Python |
Is MindsDB actively maintained?
Over the last 11 months the project absorbed 822 commits, of which 23 arrived in the most recent quarter — roughly 8 commits a month.
Activity is cooling: commits are down 91% against the previous quarter. One slow quarter is normal; two in a row is a signal.
The most recent tagged release, v26.1.0, is about 5 months old.
MindsDB ranks #9 of 21 in Database Management, placing it mid-table for maintenance activity.
What MindsDB actually does
MindsDB is a database management tool that integrates artificial intelligence directly into existing data stores. It enables users to build, train, and deploy machine learning models using standard database queries.
Best fit: Teams looking to train and deploy machine learning models directly within their current database infrastructure without building separate data pipelines.
Worth knowing: The software uses the Elastic License 2.0, which places restrictions on offering the product as a managed service to third parties. It also introduces significant compute overhead to your database server during model training.
Deployment notes
Deployment typically relies on Docker and Python, meaning you will need to provision persistent storage for trained models and configure a reverse proxy for secure TLS termination.
Links
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