Databricks runtime support lifecycles

This article explains the stages of support and support policies for Databricks Runtime versions. Databricks releases runtimes as Beta and GA versions. Databricks supports GA versions for six months, unless the runtime version is a long-term support (LTS) version. For information on supported Databricks Runtime versions, see Databricks Runtime release notes versions and compatibility.

Workloads on unsupported Databricks Runtime versions may continue to run, but Databricks does not provide support or fixes.

Databricks Runtime LTS version lifecycle

Phase

Guarantees

Beta

Support SLAs are not applicable. For more information, see Databricks Runtime previews.

Full support for LTS version

Major stability and security fixes are backported.

Databricks releases LTS versions every six months and supports them for three full years.

End of support (EOS)

Version is unsupported:

  • Workloads running on these versions receive no Databricks support

  • Databricks does not backport fixes

The end-of-support date is three years after release.

End of life (EOL)

Databricks reserves the right to completely remove a release version from the API at any time after support ends, without prior notice.

Non-LTS version support lifecycle

Phase

Guarantees

Beta

Support SLAs are not applicable. For more information, see Databricks Runtime previews.

Full support

Major stability and security fixes are backported.

Full support for Databricks Runtime versions lasts for six months, with the exception of long-term support (LTS) versions.

End of support (EOS)

Version is unsupported:

  • Workloads running on these versions receive no Databricks support

  • Databricks will not backport fixes

Supported releases along with their end-of-support dates are published at Supported Databricks Runtime LTS releases.

End of life (EOL)

Databricks reserves the right to completely remove a release version from the API at any time after support ends, without prior notice.