Databricks preview releases

Databricks regularly provides previews to give you a chance to evaluate and provide feedback on features before they’re generally available (GA). These preview releases can come in various degrees of maturity, each of which is defined in this article.

Platform preview releases

Databricks platform features can be released at any of the following preview levels:

Release type

Who can use?

Maturity

Use in production

Interface stable

SLA

Support

Notes

Private Preview

Invite only

Low-Med

No

No

No

Engineering team

Features are usually not documented in the public Databricks documentation.

Public Preview

Everyone

Med-High

Yes

Yes

Yes

Support team

Features are documented in the public Databricks documentation. Public Preview features are stable and intended to advance to GA.

Limited Availability (LA)

Invite only

High

Yes

Yes

Yes

Support team

LA features are rare, providing GA-level functionality to a limited set of customers. These features are not documented in the public Databricks documentation.

Databricks Runtime preview releases

Preview releases of Databricks Runtime are always labeled Beta.

Release type

Who can use?

Maturity

Use in production

Interface stable

SLA

Support

Beta

Everyone

Low-Med

No

No

No

Engineering team

Features included in a Databricks Runtime can be released at any of the following preview levels:

Release type

Who can use?

Maturity

Use in production

Interface stable

SLA

Support

Notes

Private Preview

Invite only

Low-Med

No

No

No

Engineering team

Features are usually not documented in the public Databricks documentation. The API may change.

Experimental

Everyone

Low-Med

No

No

No

Engineering team

Features are documented in the public Databricks documentation. The API may change.

Public Preview

Everyone

Med-High

Yes

Yes

Yes

Support team

Features are documented in the public Databricks documentation. The API will not change, either during the Public Preview or when the feature becomes GA.

For more information about Databricks Runtime releases, including support lifecycle and long-term-support (LTS), see Databricks runtime support lifecycle.