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databricks Platform · Updated Jul 30, 2025

Sharing streaming tables and materialized views is GA

Using Delta Sharing to share streaming tables and materialized views is generally available.

What it does

Using Delta Sharing to share streaming tables and materialized views is generally available. There are fewer limitations for share recipients and providers when sharing streaming tables and materialized views. This page describes how to read data shared with you using the Databricks to Databricks OpenSharing protocol, where Databricks manages a secure connection for data sharing.

Why it matters

note If you are creating a catalog from an SAP BDC share, SAP semantic metadata (table and column comments, primary keys, foreign keys, and governance tags) syncs automatically into the catalog.

Architecture
Databricks Platform → Platform
In short

Using Delta Sharing to share streaming tables and materialized views is generally available. There are fewer limitations for share recipients and providers when sharing streaming tables and materialized views.

Read the full documentation ↗
Key takeaway
Using Delta Sharing to share streaming tables and materialized views is generally available.
2025-07-30-sharing-streaming-tables-and-materialized-views-is-ga Generated by the Databricks Updates Agent · browse all updates