Announcing New OpenSharing and Marketplace capabilities for the AI era

Summary

Databricks announces new OpenSharing and Marketplace capabilities aimed at sharing data, AI assets, and partner applications without moving data. OpenSharing, a Linux Foundation project and evolution of Delta Sharing, adds vendor-neutral sharing for Agent Skills, AI models, unstructured data, Iceberg clients, Lakebase tables and change data feed, plus governed multi-cloud connectivity and agentic sharing through Genie Agent Sharing. The release also introduces identity resolution in Databricks Clean Rooms, where partners such as LiveRamp and Acxiom can work against protected first-party data without seeing raw customer records. Third-party apps are now available through Databricks Marketplace, allowing customers to deploy them in their workspaces without separate infrastructure, while providers gain distribution. Marketplace Commit Drawdown lets customers use existing Databricks universal commits to acquire Marketplace data and AI solutions.

Context

The announcements address sharing and collaboration across data providers, consumers deploying partner applications, and platform teams sharing data and AI assets across clouds and formats. They are also intended to avoid data movement, simplify integrations, and reduce procurement friction.

Approach / What changed

Databricks expands Delta Sharing through OpenSharing, adding AI asset sharing, open client interoperability, Lakebase sharing, multi-cloud connectivity, identity resolution in Clean Rooms, and agentic sharing. It also adds third-party applications to Databricks Marketplace and enables purchases through existing Databricks universal commits.

Takeaways

• OpenSharing can share data with external Iceberg-compatible clients, including Snowflake and Trino, with full transactional consistency; sharing Lakebase tables and their change data feed is in Public Preview.
• Databricks Clean Rooms supports identity resolution with partners such as LiveRamp, Acxiom, and TransUnion while first-party data remains protected and partners do not see raw customer records.
• Marketplace Commit Drawdown lets customers acquire third-party data and AI solutions using existing Databricks universal commits, while Marketplace apps run inside the customer’s Databricks environment without separate infrastructure.

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