Databricks releases, every cloud
- Scala and Java UDFs in Unity Catalog are now generally available
Reuses existing JVM logic, offers better performance than Python UDFs.
- Excel file format support is now available by default
Supports .xls, .xlsx, and .xlsm files without external libraries.
- Parquet v2 for Delta Lake tables is generally available
Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.
- Auto time-to-live for automatic row deletion is generally available
Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.
- Converting a partitioned table to liquid clustering is generally available
Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.
- Workspace admin setting for serverless notebook execution timeout
Replaces manual override process, defaults to 2.5 hours.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Faster package installs with %uv pip in serverless notebooks
Requires environment version 5 or above. Replaces %pip for faster installs.
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.