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6 releases of 1321

Last updated 4 hours ago

Release					Date
Scala and Java UDFs in Unity Catalog are now generally available Reuses existing JVM logic, offers better performance than Python UDFs. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	Jul 16, 2026
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. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	Jun 29, 2026
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. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	Jun 12, 2026
Converting a partitioned table to liquid clustering is generally available Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above. #Data Engineering	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	Jun 12, 2026
Faster package installs with %uv pip in serverless notebooks Requires environment version 5 or above. Replaces %pip for faster installs. #Notebooks #Serverless	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	May 7, 2026
Native data profiling for notebook results tables View column statistics by selecting headers and clicking Open selection details. Available in notebooks and new SQL editor. #Notebooks	On AWS, read it on their docs	On Azure, read it on their docs	On GCP, read it on their docs	On SAP, read it on their docs	May 1, 2026
Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs

Scala and Java UDFs in Unity Catalog are now generally available
Reuses existing JVM logic, offers better performance than Python UDFs.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs Jul 16, 2026
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.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs Jun 29, 2026
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.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs Jun 12, 2026
Converting a partitioned table to liquid clustering is generally available
Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.

#Data Engineering

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs Jun 12, 2026
Faster package installs with %uv pip in serverless notebooks
Requires environment version 5 or above. Replaces %pip for faster installs.

#Notebooks #Serverless

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs May 7, 2026
Native data profiling for notebook results tables
View column statistics by selecting headers and clicking Open selection details. Available in notebooks and new SQL editor.

#Notebooks

AWS, read it on their docs Azure, read it on their docs GCP, read it on their docs SAP, read it on their docs May 1, 2026
Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs

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.