• •Databricks now provides support for Apache Iceberg tables, but the functionality requires the use of Unity Catalog.
• •Engineers at Onehouse note that this architecture forces users into the Databricks ecosystem rather than allowing native Iceberg interoperability.
• •It remains unclear how this integration will affect performance or costs for companies currently managing non-Unity Iceberg data lakes.

Databricks has integrated Apache Iceberg support into its platform, contingent upon the mandatory adoption of its proprietary Unity Catalog. While this provides a pathway for Iceberg users to access the Databricks data engine, it effectively locks users into the company's specific governance framework. Critics argue this approach limits the open-source interoperability typically associated with the Iceberg standard, favoring proprietary vendor tooling instead. Whether this trade-off is worth the cost will depend on how much value organizations place on unified governance over storage-level portability.