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

10.5

3.2.1

May 04, 2022

Nov 04, 2022

Databricks Runtime 10.5 (includes Photon)

Databricks Runtime 10.5 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

10.3

3.2.1

Feb 02, 2022

Aug 02, 2022

Databricks Runtime 10.3 (includes Photon)

Databricks Runtime 10.3 for Machine Learning

10.2

3.2.0

Dec 22, 2021

Jun 22, 2022

Databricks Runtime 10.2 (includes Photon)

Databricks Runtime 10.2 for Machine Learning

10.1

3.2.0

Nov 10, 2021

Jun 14, 2022

Databricks Runtime 10.1 (includes Photon)

Databricks Runtime 10.1 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

Sep 24, 2022

Databricks Runtime 7.3 LTS

Databricks Runtime 7.3 LTS for Machine Learning

Databricks Runtime 7.3 LTS for Genomics

6.4 Extended Support

2.4.5

Mar 05, 2021

Jun 30, 2022

Databricks Runtime 6.4 Extended Support

Light 2.4 Extended Support

2.4.0+

Jul 27, 2021

Jul 27, 2022

Databricks Light 2.4 Extended Support

  • Databricks Runtime 6.4 Extended Support will be supported through June 30, 2022. It is provided for customers who are unable to migrate to Databricks Runtime 7.3 LTS or above. Databricks Runtime 6.4 Extended Support uses Ubuntu 18.04.5 LTS instead of the deprecated Ubuntu 16.04.6 LTS operating system used in the original Databricks Runtime 6.4. Ubuntu 16.04.6 LTS support ended on April 1, 2021. Databricks recommends that you migrate your workloads to Databricks Runtime 7.3 LTS or above as soon as you can to get the benefits of Apache Spark 3.x and the many new features and improvements built into these newer runtimes. For migration information, see Databricks Runtime 7.x migration guide.

  • Databricks Light 2.4 Extended Support will be supported through July 27, 2022. It uses Ubuntu 18.04.5 LTS instead of the deprecated Ubuntu 16.04.6 LTS distribution used in the original Databricks Light 2.4. Ubuntu 16.04.6 LTS support ceased on April 1, 2021. Support for Databricks Light 2.4 ended on September 5, 2021, and Databricks recommends that you migrate your Light workloads to the extended support version as soon as you can.

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

10.5

1.2.1

10.2 - 10.4 LTS

1.1.0

9.1 LTS - 10.1

1.0.0

7.3 LTS

0.7.0

6.4 Extended Support

0.5.0

MLflow compatibility matrix

Databricks Runtime ML version

MLflow version

10.4 LTS - 10.5

1.24.0

10.3

1.23.0

10.2

1.22.0

10.1

1.21.0

9.1 LTS

1.20.2

7.3 LTS

1.11.0

6.4 Extended Support

1.5.0

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

10.0

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

7.2

3.0.0

Aug 11, 2020

Feb 11, 2021

7.1

3.0.0

Jul 21, 2020

Jan 21, 2021

7.0

3.0.0

Jun 17, 2020

Jan 14, 2021

6.6

2.4.5

May 26, 2020

Nov 26, 2020

6.5

2.4.5

Apr 14, 2020

Oct 14, 2020

6.4

2.4.5

Feb 26, 2020

Apr 01, 2021

6.3

2.4.4

Jan 22, 2020

Jul 22, 2020

6.2

2.4.4

Dec 03, 2019

Jun 03, 2020

6.1

2.4.4

Oct 16, 2019

Apr 16, 2020

6.0

2.4.3

Oct 01, 2019

Apr 01, 2020

5.5 Extended Support

2.4.3

Jul 09, 2021

Dec 31, 2021

5.5 LTS

2.4.3

Jul 10, 2019

Jul 27, 2021

5.4

2.4

Jun 03, 2019

Dec 03, 2019

5.3

2.4

Apr 03, 2019

Dec 03, 2019

5.2

2.4

Jan 24, 2019

Sep 30, 2019

5.1

2.4

Dec 18, 2018

Aug 19, 2019

5.0

2.4

Nov 08, 2018

Jul 08, 2019

4.3

2.3

Aug 10, 2018

Apr 09, 2019

4.2

2.3

Jul 09, 2018

Mar 05, 2019

4.1

2.3

May 17, 2018

Jan 17, 2019

4.0

2.3

Mar 01, 2018

Nov 01, 2018

3.5 LTS

2.2

Dec 21, 2017

Jan 02, 2020

3.4

2.2

Nov 20, 2017

Jul 30, 2018

3.3

2.2

Oct 04, 2017

Jul 30, 2018

3.2

2.2

Sep 05, 2017

Apr 30, 2018

3.1

2.2

Aug 04, 2017

Oct 30, 2017

3.0

2.2

Jul 11, 2017

Sep 05, 2017

Light 2.4

2.4.0+

Mar 26, 2019

Sep 05, 2021

Spark 2.1 (Auto Updating)

2.1

Dec 22, 2016

Jul 30, 2018

Spark 2.1.1-db6

2.1

Aug 03, 2017

Jul 30, 2018

Spark 2.1.1-db5

2.1

May 31, 2017

Aug 03, 2017

Spark 2.1.1-db4

2.1

Apr 25, 2017

Jul 30, 2018

Spark 2.0 (Auto Updating)

2.0

Jul 26, 2016

Apr 30, 2018

Spark 2.0.2-db4

2.0

Mar 24, 2017

Apr 30, 2018

Spark 1.6.3-db2

1.6

Mar 24, 2017

Jun 30, 2018

Release notes for unsupported releases