Databricks Runtime release notes versions and compatibility

This article lists all Databricks Runtime releases and the schedule for supported releases. Each Databricks Runtime version includes updates that improve the usability, reliability, performance, and security of the Databricks platform.

To learn about the Databricks Runtime support lifecycle, generally available releases, and Beta releases, see Databricks support lifecycles. For information on maintenance updates issued for Databricks Runtime releases, see Databricks Runtime maintenance updates.

Supported Databricks Runtime LTS releases

The following table lists supported Databricks Runtime long-term support (LTS) version releases in addition to the Apache Spark version, release date, and end-of-support date. For optimal lifespan, use a Databricks Runtime LTS version.

Note

LTS means this version is under long-term support. See Databricks Runtime LTS version lifecycle.

Version	Variants	Apache Spark version	Release date	End-of-support date
15.4 LTS	Databricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning	3.5.0	Aug 19, 2024	Aug 19, 2027
14.3 LTS	Databricks Runtime 14.3 LTS Databricks Runtime 14.3 LTS for Machine Learning	3.5.0	Feb 1, 2024	Feb 1, 2027
13.3 LTS	Databricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning	3.4.1	Aug 22, 2023	Aug 22, 2026
12.2 LTS	Databricks Runtime 12.2 LTS Databricks Runtime 12.2 LTS for Machine Learning	3.3.2	Mar 1, 2023	Mar 1, 2026
11.3 LTS	Databricks Runtime 11.3 LTS Databricks Runtime 11.3 LTS for Machine Learning	3.3.0	Oct 19, 2022	Oct 19, 2025
10.4 LTS	Databricks Runtime 10.4 LTS Databricks Runtime 10.4 LTS for Machine Learning	3.2.1	Mar 18, 2022	Mar 18, 2025
9.1 LTS	Databricks Runtime 9.1 LTS Databricks Runtime 9.1 LTS for Machine Learning	3.1.2	Sep 23, 2021	Dec 19, 2024

All supported Databricks Runtime releases

The following table lists the Apache Spark version, release date, and end-of-support date for supported Databricks Runtime releases. For optimal lifespan, use a Databricks Runtime LTS version.

Version	Variants	Apache Spark version	Release date	End-of-support date
16.0	Databricks Runtime 16.0 Databricks Runtime 16.0 for Machine Learning	3.5.0	Nov 11, 2024	May 11, 2025
15.4 LTS	Databricks Runtime 15.4 LTS Databricks Runtime 15.4 LTS for Machine Learning	3.5.0	Aug 19, 2024	Aug 19, 2027
15.3	Databricks Runtime 15.3 Databricks Runtime 15.3 for Machine Learning	3.5.0	Jun 24, 2024	Dec 24, 2024
15.2	Databricks Runtime 15.2 Databricks Runtime 15.2 for Machine Learning	3.5.0	May 22, 2024	Nov 22, 2024
14.3 LTS	Databricks Runtime 14.3 LTS Databricks Runtime 14.3 LTS for Machine Learning	3.5.0	Feb 1, 2024	Feb 1, 2027
14.1	Databricks Runtime 14.1 Databricks Runtime 14.1 for Machine Learning	3.5.0	Oct 11, 2023	Feb 12, 2025
13.3 LTS	Databricks Runtime 13.3 LTS Databricks Runtime 13.3 LTS for Machine Learning	3.4.1	Aug 22, 2023	Aug 22, 2026
12.2 LTS	Databricks Runtime 12.2 LTS Databricks Runtime 12.2 LTS for Machine Learning	3.3.2	Mar 1, 2023	Mar 1, 2026
11.3 LTS	Databricks Runtime 11.3 LTS Databricks Runtime 11.3 LTS for Machine Learning	3.3.0	Oct 19, 2022	Oct 19, 2025
10.4 LTS	Databricks Runtime 10.4 LTS Databricks Runtime 10.4 LTS for Machine Learning	3.2.1	Mar 18, 2022	Mar 18, 2025
9.1 LTS	Databricks Runtime 9.1 LTS Databricks Runtime 9.1 LTS for Machine Learning	3.1.2	Sep 23, 2021	Dec 19, 2024

MLflow-Databricks Runtime compatibility matrix

This section lists Databricks Runtime ML versions and their respective MLflow versions.

Databricks Runtime ML version	MLflow version
16.0	2.15.1
15.4 LTS	2.13.1
15.3	2.11.3
15.2	2.11.3
14.3 LTS	2.9.2
14.1	2.7.1
13.3 LTS - 14.0	2.5.0
12.2 LTS	2.1.1
11.3 LTS	1.29.0
10.4 LTS	1.24.0
9.1 LTS	1.20.2

Feature Engineering compatibility matrix

This section lists Databricks Runtime ML versions and their respective Feature Engineering and Workspace Feature Store client versions.

Databricks Runtime ML version	`databricks-feature-engineering` version	`databricks-feature-store` version
16.0	0.7.x	None
15.4 LTS	0.6.x	None
15.3	0.5.x	None
15.2	0.4.x	None
14.3 LTS	0.2.x	None
14.1	0.1.x	0.15.1
13.3 LTS	0.1.x	0.14.1
12.2 LTS	Not supported	0.10.0
11.3 LTS	Not supported	0.7.0 (requires MLflow < 2.0)
10.4 LTS	Not supported	0.3.8 (requires MLflow < 2.0)
9.1 LTS	Not supported	0.3.4 (requires MLflow < 2.0)

Apache Spark migration guidance

Find Spark-specific migration information in the Apache Spark documentation. The migration information for each Spark version can be found at a URL like the following:

https://spark.apache.org/docs/<version>/migration-guide.html.

Replace <version> with the Spark version included in the Databricks Runtime version you’re migrating to. For example, the URL with migration information for Spark 3.5.0, included in Databricks Runtime 14.3 LTS, is https://spark.apache.org/docs/3.5.0/migration-guide.html.

Beta releases

There are no Databricks Runtime Beta releases at this time.

Unsupported releases

For information on unsupported Databricks Runtime version release notes, see End-of-support Databricks Runtime release notes. The unsupported Databricks Runtime versions have been retired and might not be updated.