Databricks release notes
The following sections organize Databricks release notes by release type, including Databricks Runtime releases, platform releases, and feature-specific releases such as Databricks SQL, Lakeflow Declarative Pipelines, and serverless compute.
Databricks Runtime release notes
The following table provides links to release notes for the latest Databricks Runtime releases.
Long-term support (LTS) runtimes | Machine learning (ML) long-term support runtimes | Latest Databricks Runtimes | Latest Databricks Runtimes for ML |
|---|---|---|---|
For a complete list of supported runtimes, version compatibilities, and available Beta releases, see Databricks Runtime release notes versions and compatibility.
Databricks platform release notes
Release notes for the latest Databricks platform features, improvements, and fixes are found in the following articles:
- July 2025 release notes
- June 2025 release notes
- May 2025 release notes
- April 2025 release notes
For all platform release notes, see Databricks platform release notes.
Feature-specific release notes
The following Databricks features have their own dedicated release note articles:
Feature | Description |
|---|---|
A business intelligence product that includes dashboards for visualization and reporting, plus Genie for conversational analytics. | |
The collection of services supporting data warehousing and querying features on the Databricks Data Intelligence Platform. | |
IDE extensions, plugins, command-line interfaces, SDKs, and SQL connectors and drivers. | |
Connect IDEs, notebook servers, and other custom applications to Databricks compute. | |
Databricks Assets Bundles are an infrastructure-as-code (IaC) approach to managing Databricks projects. | |
A declarative framework designed to simplify the creation of reliable and maintainable extract, transform, and load (ETL) pipelines. | |
Run your Databricks workloads without configuring and deploying infrastructure. | |
Create, read, and write feature tables. Train models on feature data. Publish feature tables to online stores for real-time serving. |
Databricks release notes feed
The Databricks documentation site provides an RSS feed that contains updates to the product and other feature release notes. The feed conforms to the RSS feed specification and can be used with any feed reader or client that can consume an RSS feed. Feed readers offer features such as filtering of feed items and email notifications when the feed is updated, so that you can stay informed of the latest Databricks releases.
The Databricks documentation feed is available at the following URL. It is currently only available in English.
https://docs.databricks.com/gcp/en/feed.xml
Each item in the Databricks documentation feed contains information about one release note, including the following information:
- The date of the release
- A summary of the release
- A link to the release note
- A longer description of the release that often includes links to additional information
- Categories, such as an applicable feature area
Understand the release process
For information about the release process and upcoming features, see the following articles: