Databricks runtimes

Databricks runtimes are the set of core components that run on Databricks clusters. Databricks offers several types of runtimes.

  • Databricks Runtime

    Databricks Runtime includes Apache Spark but also adds a number of components and updates that substantially improve the usability, performance, and security of big data analytics.

  • Databricks Runtime for Machine Learning

    Databricks Runtime ML is a variant of Databricks Runtime that adds multiple popular machine learning libraries, including TensorFlow, Keras, PyTorch, and XGBoost.

  • Databricks Runtime for Genomics

    Databricks Runtime for Genomics is a variant of Databricks Runtime optimized for working with genomic and biomedical data.

  • Databricks Light

    Databricks Light provides a runtime option for jobs that don’t need the advanced performance, reliability, or autoscaling benefits provided by Databricks Runtime.

You can choose from among the supported runtime versions when you create a cluster.

Select Databricks runtime

For information about the contents of each runtime variant, see the release notes.