Tia Chang

Open data sharing across platform boundaries is now a reality. As organizations move toward multi-engine environments, collaborating across different catalogs and ecosystems is a strategic necessity. With the launch of first-class Iceberg support in Databricks OpenSharing, you can maintain a single governance layer while supporting a diverse, multi-platform data estate. Key Highlights: - First-Class Iceberg Support: Share Delta tables as native Iceberg tables via the Iceberg REST Catalog API for zero-copy sharing to Snowflake, Trino, and Spark. - Bi-Directional Interoperability: Bring ""foreign"" Iceberg tables from AWS Glue or Snowflake into Unity Catalog and share them to any recipient. - Unified Governance: Share fine-grained Views via secretless authentication, even to non-Databricks platforms. - Open Standards, No Lock-In: Shift from closed sharing models to a transparent protocol that supports multiple clouds, formats, and platforms simultaneously.

Data sharing got us this far. The next leap is sharing the intelligence on top of that data: the agents, applications, and AI experiences your partners and customers actually want. With Databricks Marketplace, the ecosystem is expanding from raw datasets to a full set of AI-first collaboration primitives: Genie Spaces, third-party applications, and MCP servers, all governed, and all running in the consumer's own environment. In this session, we'll demonstrate three new ways to collaborate across organizational boundaries: Genie Sharing: a first-of-its-kind privacy-safe agentic collaboration tool. Hand a partner a curated natural-language interface to your data instead of raw tables. Provider IP (instructions, benchmarks, knowledge store) stays hidden, while output is governed by aggregation-only columns, row limits, and query quotas. Recipients can even blend in their own data without exposing it back to the provider. 3P Apps in Marketplace: plug-and-play applications running entirely in the consumer's workspace, from financial forecasting to manufacturing analytics. No data leaves your boundary. MCP servers in Marketplace: turn Marketplace assets (tables, notebooks,…

Curious about how to get real value from the Databricks Marketplace—whether you're consuming data or sharing it? This demo-heavy session answers the top 10 questions we hear from both data consumers and providers, with real examples you can put into practice right away. We’ll show consumers how to find the right product listing whether that's tables, files, AI models, solution accelerators, or Partner Connect integrations, try them out using sample notebooks, and access them with ease. You’ll also see how the Private Marketplace helps teams work more efficiently with a curated catalog of approved data. For providers, learn how to list your product in a way that stands out, use notebooks and documentation to help users get started, reach new audiences, and securely share data across your company or with trusted partners using the Private Marketplace. If you’ve ever asked, “How do I get started?” or “How do I make my data available internally or externally?”—this session has the answers, with demos to match.