Session
Breaking Silos: Enabling Databricks-Snowflake Interoperability With Iceberg and Unity Catalog
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Lakehouse Architecture and Implementation |
Industry | Energy and Utilities |
Technologies | Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
As data ecosystems grow more complex, organizations often struggle with siloed platforms and fragmented governance. In this session, we’ll explore how our team made Databricks the central hub for cross-platform interoperability, enabling seamless Snowflake integration through Unity Catalog and the Iceberg REST API.
We’ll cover:
- Why interoperability matters and the business drivers behind our approach
- How Unity Catalog and Uniform simplify interoperability, allowing Databricks to expose an Iceberg REST API for external consumption
- Technical deep dive into data sharing, query performance, and access control across Databricks and Snowflake
- Lessons learned and best practices for building a multi-engine architecture while maintaining governance and efficiency
By leveraging Uniform, Delta, and Iceberg, we created a flexible, vendor-agnostic architecture that bridges Databricks and Snowflake without compromising performance or security.
Session Speakers
Geoffrey Freeman
/Director of Data Engineering
T-Mobile
Mohit Kumar
/Member of Technical Staff, Sol Arch
T-Mobile