10+ ML FRameworks

A simpler, clearer way to feed machine-learning models.

50+ Datasources

A simpler, clearer way to feed machine-learning models.

Directly from the database.

Your data tells a story. That story is clearest at the source: inside your database. MindsDB makes it easier to derive understanding from your data, and take action.
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Train machine-learning models directly from the database. With less hassle, and at lower cost.

Manage exploration, training, versioning, and inference from one interface.

Database predictions at your fingertips. In SQL.

Go deep or go simple; MindsDB gives you control, and helps you maximize the value of your data.

MindsDB allows you to select your own model to conduct accuracy-improving experiments. Choose to configure the default settings of automatically generated models, or import models from a growing list of ML libraries, or any custom model written in Python.

Train machine-learning models directly from the database. With less hassle, and at lower cost.

Manage exploration, training, versioning, and inference from one interface.

Database predictions at your fingertips. In SQL.

Go deep or go simple; MindsDB gives you control, and helps you maximize the value of your data.

MindsDB allows you to select your own model to conduct accuracy-improving experiments. Choose to configure the default settings of automatically generated models, or import models from a growing list of ML libraries, or any custom model written in Python.

Data-centric rapid prototyping

Data-centric rapid prototyping

SQL is the go-to tool for data transformation, and database columns are the excellent match for ML features. MindsDB automates the rest.

Seamlessly train or retrain models

Seamlessly train or retrain models

Make your MLOps pipelines simple. Once model training is complete, they are ready to use inside your database. No extra infrastructure is necessary.

Enrich data with low-latency

Enrich data with low-latency

JOIN models with your database tables to add predictions and explainability metadata, such as anomaly flag, confidence bounds, etc.

Import custom ML models

Import custom ML models

Either connect to third-party ML Frameworks such as Ludwig and Huggingface – or import your own custom Python models into MindsDB.

Predictions in BI tools

Predictions in BI tools

Using the  SQL Wire Protocol, train models and analyze future events in your business dashboards.

Automate data transformation

Automate data transformation

Use DBT to orchestrate data transformation tasks  – or using our soon-to-be-available feature store.

MindsDB is a member of the Intel® Partner Alliance, integrates with the Intel® Distribution of OpenVINO™ Toolkit, and works with all Cloud Service Providers.
OpenVINO

Make your database intelligent

Get it learning. Predicting. Analyzing. Quick results. Minimal setup.

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FAQs

What machine learning models are available in MindsDB?

We support a wide variety of machine learning frameworks in MindsDB including Pytorch, Tensorfow and Scikit. Learn more in our documentation

What kind of ML algorithms does MindsDB support?

For algorithms, we use a mix of Neural Networks (fully-connected, transformers, convolutional and recurrent depending on the problem type), advanced Gradient Boosters and over a dozen “classical” models.

Do you save a copy of data from my database?

No, we don't save your data. In MindsDB Cloud, data defined in a SQL query is ingested for processing. Data is transferred to our servers for training but it isn't stored.

How much does MindsDB cost?

We offer a paid, fully managed, MindsDB Cloud and a free, self-hosted, Open-source option. MindsDB provides additional technical support from ML Engineers to build machine learning models, manage updates, build out authentication, as well as guaranteeing things like response times for customer enquiries, for both Cloud and Open-source. Learn more on our pricing page