Databricks AutoML
Automated machine learning that trains and evaluates classification, regression and forecasting models on a dataset, and writes an editable notebook with the training code for every trial.
Find alternatives to Databricks AutoML
What it does
- Model training
Sources
- Pricing
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Read the AutoML product page and documentation: neither states a price or a separate meter for AutoML.
- Description
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Official documentation · 18 Oct 2026
"Databricks AutoML allows you to quickly generate baseline models and notebooks"; "Leverage AutoML to tackle a variety of machine learning problems ranging from classification, regression, and forecasting."
- What it does
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Official documentation · 18 Oct 2026
"Automatically set up your machine learning project with the training libraries, MLflow integration for experiment tracking and built-in ML best practices such as training and testing split, normalizing of features and hyperparameter tuning."
- Sold within
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Documentation states compute requirements (Databricks Runtime for Machine Learning) but no sentence says which plan includes AutoML.
- Name
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Official documentation · 18 Oct 2026
"Databricks AutoML - Automated Machine Learning".
- URL
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Official documentation · 18 Oct 2026
The product's own page, listed in the Artificial Intelligence menu as "AutoML".
- Deployment
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Official documentation · 18 Oct 2026
AutoML runs on Databricks compute: "Use a compute resource with a supported compute access mode."
- Interfaces
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Official documentation · 18 Oct 2026
"Get started with AutoML experiments through a low-code UI for regression; classification; or forecasting, or the Python API."
- Intended for
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Official documentation · 18 Oct 2026
"ML experts can accelerate their workflow ... and citizen data scientists can quickly achieve usable results with a low-code approach."
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