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, performance, and security of big data analytics.

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

For information on migrating between Databricks Runtime versions, see the Databricks Runtime migration guide.

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
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 Sep 23, 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
15.0 * Databricks Runtime 15.0
* Databricks Runtime 15.0 for Machine Learning
3.5.0 Mar 22, 2024 Sep 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
14.2 * Databricks Runtime 14.2
* Databricks Runtime 14.2 for Machine Learning
3.5.0 Nov 22, 2023 Oct 1, 2024
14.1 * Databricks Runtime 14.1
* Databricks Runtime 14.1 for Machine Learning
3.5.0 Oct 11, 2023 Oct 1, 2024
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 Sep 23, 2024

MLflow-Databricks Runtime compatibility matrix

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

Databricks Runtime ML version MLflow version
15.0 2.10.2
14.3 LTS 2.9.2
14.2 2.8.0
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
15.0 0.3.x None
14.3 LTS 0.2.x None
14.2 0.1.x 0.16.1
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

You can 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 Unsupported Databricks Runtime release notes. The unsupported Databricks Runtime versions have been retired and might not be updated.