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databricks Platform · Updated Aug 4, 2026

Sharing Delta tables with deletion vectors and column mapping is now generally…

Sharing Delta tables with deletion vectors or column mapping enabled is now generally available.

What it does

Sharing Delta tables with deletion vectors or column mapping enabled is now generally available. This page explains how to create shares for OpenSharing. A share is a securable object in Unity Catalog that you use for sharing the following data assets with one or more recipients: Tables and table partitions Streaming tables Managed Iceberg tables Foreign Iceberg tables Foreign schemas and tables Views, including dynamic views that restrict access at the row and column level Materialized views Volumes Python UDFs Notebooks AI models Genie Agents FeatureSpecs If you share an entire schema (database), the recipient can access all of the tables, streaming tables, views, materialized views, models, and volumes in the schema at the moment you share it, along with any data and AI assets added to the schema in the future.

Why it matters

A share is a securable object in Unity Catalog that you use for sharing the following data assets with one or more recipients: Tables and table partitions Streaming tables Managed Iceberg tables Foreign Iceberg tables Foreign schemas and tables Views, including dynamic views that restrict access at the row and column level Materialized views Volumes Python UDFs Notebooks AI models Genie Agents FeatureSpecs If you share an entire schema (database), the recipient can access all of the tables, streaming tables, views, materialized views, models, and volumes in the schema at the moment you share it, along with any data and AI assets added to the schema in the future.

Architecture
Databricks Platform → Platform
In short

Sharing Delta tables with deletion vectors or column mapping enabled is now generally available.

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Key takeaway
Sharing Delta tables with deletion vectors or column mapping enabled is now generally available.
2026-08-04-662d28a8 Generated by the Databricks Updates Agent · browse all updates