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.
You can choose from among the supported runtime versions when you create a cluster.
For information about the contents of each runtime variant, see the release notes.