AI Tables — Create virtual tables in your database that use machine learning models to make predictions on new data, queryable with standard SQL.
SQL-based Model Training — Train machine learning models directly using SQL commands like CREATE MODEL, eliminating the need for separate ML code.
Automated ML Pipelines — Automatically handle data preprocessing, feature engineering, and model selection, making ML accessible to non-experts.
Integration with Major Databases — Seamlessly connect to popular databases such as MySQL, PostgreSQL, MariaDB, ClickHouse, and more.
Model Management — Manage multiple models, track versions, and monitor performance directly from your database environment.
Real-time Predictions — Get instant predictions on incoming data streams, enabling real-time decision-making within your applications.
Open Source & Extensible — MindsDB is open source, allowing customization and contribution, with a growing ecosystem of integrations and handlers.