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Delta Live Tables release 2025.04

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January 23 - 30, 2025

These features and improvements were released with the 2025.04 release of Delta Live Tables.

Databricks Runtime versions used by this release

Channel:

  • CURRENT (default): Databricks Runtime 15.4
  • PREVIEW: Databricks Runtime 15.4 or 16.1

Note

Because Delta Live Tables channel releases follow a rolling upgrade process, channel upgrades are deployed to different regions at different times. Your release, including Databricks Runtime versions, might not be updated until a week or more after the initial release date. To find the Databricks Runtime version for a pipeline, see Runtime information.

New features and improvements

  • By default, new Delta Live Tables pipelines support creating and updating materialized views and streaming tables in multiple catalogs and schemas. This new default behavior for pipeline configuration requires that users specify a target schema that becomes the default schema for the pipeline. The LIVE virtual schema and associated syntax is no longer required. To learn more, see Set the target catalog and schema, Configure a Delta Live Tables pipeline, and LIVE schema (legacy).

  • The clone a pipeline request in the Databricks REST API is now generally available. You can use this request to copy an existing pipeline that publishes to the Hive metastore to a new pipeline that publishes to Unity Catalog. See Create a Unity Catalog pipeline by cloning a Hive metastore pipeline.

  • Support for viewing streaming workload metrics for your Delta Live Tables pipeline updates is in Public Preview. When you view pipeline updates in the Delta Live Tables UI, you can now view metrics such as backlog seconds, backlog bytes, backlog records, and backlog files for each streaming flow in the pipeline. Streaming metrics are supported for Spark Structured Streaming sources, including Apache Kafka, Amazon Kinesis, and Auto Loader. See View streaming metrics.