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databricks Platform · Updated Sep 11, 2026

Sharing foreign schemas and tables with OpenSharing is now generally available

Sharing and reading foreign schemas and foreign tables with OpenSharing is now generally available.

GA Open docs ↗release note ↗
What it does

Sharing and reading foreign schemas and foreign tables with OpenSharing is now generally available. Providers can share foreign schemas and tables federated from external data sources using Lakehouse Federation, without copying data into Databricks. Sharing foreign schemas and tables materializes data on the provider's side, which incurs compute and storage costs.

Why it matters

Sharing foreign schemas and tables materializes data on the provider's side, which incurs compute and storage costs.

Key capabilities
In the bearer token flow
In the bearer token flow, the recipient provides the credential whenever they access the data in their tool of choice, including…
In the OIDC token federation
In the OIDC token federation flow, the recipient or the recipient's client app accesses the data using their own identity…
Architecture
Databricks Platform → Platform
In short

Sharing and reading foreign schemas and foreign tables with OpenSharing is now generally available. Providers can share foreign schemas and tables federated from external data sources using Lakehouse Federation, without copying data into Databricks.

Read the full documentation ↗
Key takeaway
Sharing and reading foreign schemas and foreign tables with OpenSharing is now generally available.
2026-09-11-sharing-foreign-schemas-and-tables-with-opensharing-is-now-generally-available Generated by the Databricks Updates Agent · browse all updates