Sharing Foreign Schemas and Tables with OpenSharing is Generally Available
Databricks OpenSharing now supports generally available sharing and reading of foreign schemas and tables. This capability allows providers to share federated data from external sources using Lakehouse Federation, eliminating the need to copy data into Databricks. The feature benefits organizations looking to share data more efficiently with recipients. However, providers should note that data materialization on their side will incur compute and storage costs.
Features (1) ›
- OpenSharing Supports Foreign Schema and Table Sharing
Databricks OpenSharing is now generally available for sharing and reading foreign schemas and tables. This allows providers to share federated data from external sources via Lakehouse Federation without copying, though data materialization on the provider's side incurs costs.
https://docs.databricks.com/aws/en/release-notes/product/2026/september#sharing-foreign-schemas-and-tables-with-opensharing-is-now-generally-available
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