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
8.4   3.1.2 Jul 20, 2021 Jan 20, 2022
  Databricks Runtime 8.4      
  Databricks Runtime 8.4 for Machine Learning      
8.3   3.1.1 Jun 08, 2021 Dec 08, 2021
  Databricks Runtime 8.3      
  Databricks Runtime 8.3 for Machine Learning      
8.2   3.1.1 Apr 22, 2021 Oct 22, 2021
  Databricks Runtime 8.2      
  Databricks Runtime 8.2 for Machine Learning      
8.1   3.1.1 Mar 22, 2021 Sep 22, 2021
  Databricks Runtime 8.1      
  Databricks Runtime 8.1 for Machine Learning      
8.0   3.1.1 Mar 02, 2021 Sep 02, 2021
  Databricks Runtime 8.0      
  Databricks Runtime 8.0 for Machine Learning      
7.6   3.0.1 Feb 08, 2021 Aug 08, 2021
  Databricks Runtime 7.6      
  Databricks Runtime 7.6 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 Dec 31, 2021
  Databricks Runtime 6.4 Extended Support      
5.5 Extended Support   2.4.3 Jul 09, 2021 Dec 31, 2021
  Databricks Runtime 5.5 Extended Support      
5.5 LTS   2.4.3 Jul 10, 2019 Jul 10, 2021
  Databricks Runtime 5.5 LTS      
  Databricks Runtime 5.5 LTS for Machine Learning      

Note

Databricks Runtime 6.4 Extended Support will be supported through the end of 2021. It is provided for customers who are unable to migrate to Databricks Runtime 7.x or 8.x. 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 Runtime 5.5 Extended Support will be supported through the end of 2021. It is intended for customers who are on Databricks Runtime 5.5 LTS but are unable to migrate to Databricks Runtime 7.x or 8.x before support ends for 5.5 LTS on July 10, 2021. Databricks Runtime 5.5 Extended Support uses Ubuntu 18.04.5 LTS instead of the deprecated Ubuntu 16.04.6 LTS distribution used in the original Databricks Runtime 5.5 LTS. Ubuntu 16.04.6 LTS support ceased on April 1, 2021.

Databricks recommends that you migrate your workloads to Databricks Runtime 7.x or 8.x 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.

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
8.3 - 8.4 1.0.0
8.0 - 8.2 0.8.0
7.3 LTS, 7.6 0.7.0
6.4 Extended Support 0.5.0

MLflow compatibility matrix

Databricks Runtime ML version MLflow version
8.4 1.18.0
8.3 1.17.0
8.2 1.15.0
8.1 1.14.1
7.6 - 8.0 1.13.1
7.3 LTS 1.11.0
6.4 Extended Support 1.5.0
5.5 LTS and 5.5 Extended Support 1.0.0

Supported Databricks Light releases

Version Apache Spark version Release date End-of-support date
2.4 2.4.0+ March 26, 2019 –

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
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
5.4 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
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