tailwindlabs / tailwindcss
github.com·21h ago
Developer Tools
Databricks Blog·22d ago·5 min read
How Unity Catalog managed tables bring interoperability, performance, and unified governance to the Lakehouse
TL;DR
Unity Catalog managed tables now support external engines, enhancing interoperability and performance for data access. This allows teams to create, read, and write Delta tables with centralized governance.
✦ Why It Matters
Teams can adopt Unity Catalog managed tables today to streamline data governance and improve performance across multiple engines.
Key Takeaways
- Explore Unity Catalog for centralized data governance.
- Integrate multiple engines like Spark and DuckDB with managed tables.
- Transition from external tables to Unity Catalog for better performance.
- Implement access policies consistently across different data engines.
Full Summary
Unity Catalog is designed to provide centralized governance and interoperability for data management in lakehouse architectures. With the recent Public Preview of external access to Unity Catalog managed Delta tables, teams can now utilize various engines like Apache Spark, Flink, Starburst, and DuckDB without sacrificing performance or governance.
Previously, multi-engine access relied on external tables, which lacked optimizations and governance guarantees. The new capability allows enterprises to maintain a single copy of data while enforcing access policies consistently across different engines.
This development not only enhances performance but also simplifies data management workflows. As a result, organizations can leverage the price-performance benefits of Unity Catalog managed tables while using the best tools for their specific workloads.