Databricks runtime releases

This article lists all Databricks runtime releases and the schedule for supported releases. For more information about the Databricks Runtime support policy and schedule, see Databricks runtime support lifecycle.

Supported releases

The Databricks runtime versions listed in this section are currently supported.

Supported Databricks runtime releases and support schedule

The following table lists the Apache Spark version, release date, and end-of-support date for supported Databricks Runtime releases.

Version

Variant

Apache Spark version

Release date

End-of-support date

11.3 LTS

3.3.0

Oct 19, 2022

Oct 19, 2024

Databricks Runtime 11.3 LTS (includes Photon)

Databricks Runtime 11.2 for Machine Learning

11.2

3.3.0

Sep 07, 2022

Mar 07, 2023

Databricks Runtime 11.2 (includes Photon)

Databricks Runtime 11.2 for Machine Learning

11.1

3.3.0

Jul 27, 2022

Jan 27, 2023

Databricks Runtime 11.1 (includes Photon)

Databricks Runtime 11.1 for Machine Learning

11.0

3.3.0

Jun 16, 2022

Dec 16, 2022

Databricks Runtime 11.0 (includes Photon)

Databricks Runtime 11.0 for Machine Learning

10.4 LTS

3.2.1

Mar 18, 2022

Mar 18, 2024

Databricks Runtime 10.4 LTS (includes Photon)

Databricks Runtime 10.4 LTS for Machine Learning

9.1 LTS

3.1.2

Sep 23, 2021

Sep 23, 2023

Databricks Runtime 9.1 LTS (includes Photon)

Databricks Runtime 9.1 LTS for Machine Learning

7.3 LTS

3.0.1

Sep 24, 2020

Mar 31, 2023

Databricks Runtime 7.3 LTS

Compatibility matrixes

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

Delta Lake API compatibility matrix

Databricks Runtime version

Delta Lake API version

11.2 - 11.3 LTS

2.1.0

11.0 - 11.1

1.2.1

10.4 LTS

1.1.0

9.1 LTS

1.0.0

7.3 LTS

0.7.0

MLflow compatibility matrix

Databricks Runtime ML version

MLflow version

11.3 LTS

1.29.0

11.2

1.28.0

11.1

1.27.0

11.0

1.26.0

10.4 LTS

1.24.0

9.1 LTS

1.20.2

The other Databricks Runtime versions available in Databricks on Google Cloud do not provide full support for managed MLflow.

Feature Store compatibility matrix

Databricks Runtime ML version

Feature Store client version

11.3 LTS

0.7.0 (requires MLflow < 2.0)

11.2

0.6.0 (requires MLflow < 2.0)

11.1

0.5.0 (requires MLflow < 2.0)

11.0

0.4.1 (requires MLflow < 2.0)

10.4 LTS

0.3.8 (requires MLflow < 2.0)

9.1 LTS

0.3.4 (requires MLflow < 2.0)

Beta releases

Preview releases of Databricks Runtime are always labeled Beta. See Databricks Runtime preview releases. This section lists any current Databricks runtime Beta releases.

There are no Databricks Runtime Beta releases at this time.

Unsupported releases

The Databricks runtime versions listed in this section are no longer supported by Databricks. For more information about the Databricks Runtime support policy and schedule, see Databricks runtime support lifecycle.

End-of-support history

Release notes for unsupported releases

Version (all variants)

Apache Spark version

Release date

End-of-support date

10.5

3.2.1

May 04, 2022

Nov 04, 2022

10.3

3.2.1

Feb 02, 2022

Aug 02, 2022

10.2

3.2.0

Dec 22, 2021

Jun 22, 2022

10.1

3.2.0

Nov 10, 2021

Jun 14, 2022

10.0

3.2.0

Oct 20, 2021

Apr 20, 2022

9.0

3.1.2

Aug 17, 2021

Feb 17, 2022

8.4

3.1.2

Jul 20, 2021

Jan 20, 2022

8.3

3.1.1

Jun 08, 2021

Jan 20, 2022

8.2

3.1.1

Apr 22, 2021

Oct 22, 2021

8.1

3.1.1

Mar 22, 2021

Sep 22, 2021

8.0

3.1.1

Mar 02, 2021

Sep 02, 2021

7.6

3.0.1

Feb 08, 2021

Aug 08, 2021

7.5

3.0.1

Dec 16, 2020

Jun 16, 2021

7.4

3.0.0

Nov 03, 2020

May 03, 2021