Databricks Previews support & details

Databricks regularly provides previews to give you a chance to evaluate and provide feedback on features before they’re generally available (GA). Previews come in various degrees of maturity, each of which is defined in this article. The following tables list Databricks support options that are associated with the corresponding release type.

For access to preview releases, see Manage Databricks Previews.

Platform previews

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

Release type	Who can use?	For production?	Interface stable	SLA	Support	Notes
Private Preview	Invite only	No	No	No	Engineering team	Available by invite-only and usually for a small set of customers. Previews are OFF by default and admins can enable (or disable) the preview on workspaces. Usually not documented in public Databricks documentation.
Public Preview	Everyone	Yes	Yes	Yes	Support team	Available to all customers. The default preview state can be enabled or disabled. Admins can opt out of the preview by disabling it on workspaces. The preview state set during the private preview phase does not change for public preview. Documented in the public Databricks documentation, also stable and intended to advance to GA.
General Availibility - approaching soon	Everyone	Yes	Yes	Yes	Support team	Nearing general availability and available to all customers. The preview state set during the public preview phase does not change in this phase.

When previews become Generally Available, they are removed from the Previews page. General availability is fully supported and production-ready.

Databricks Runtime previews

Previews of Databricks Runtime are always labeled Beta.

Release type	Who can use?	Maturity	For 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	For 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. Most public previews are open to all customers. Some, however, require that you request access.

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