Packaged clean rooms are now generally available.
Packaged clean rooms are now generally available. In a packaged clean room, a provider supplies notebooks, JARs, and data that a consumer runs against their own data without seeing the provider's code or data assets. This page describes packaged clean rooms, a provider consumer collaboration model for Databricks clean rooms.
How packaged clean rooms differ from approval based clean rooms The following table compares the capabilities of each collaborator in a packaged clean room with those in an approval based clean room: ←✕ Security and trust model Because the consumer cannot inspect the provider's notebook or JAR code, the consumer must trust that the provider's code behaves as described, similar to using a private library.
Packaged clean rooms are now generally available. In a packaged clean room, a provider supplies notebooks, JARs, and data that a consumer runs against their own data without seeing the provider's code or data assets.
Read the full documentation ↗