For years, data teams have maintained two separate systems:
- A warehouse for multi-step SQL workflows
- A Lakehouse for analytics and AI
That split means duplicate pipelines, higher TCO, and operational complexity.
Today that changes. Databricks now supports multi-statement, multi-table transactions across Delta and Iceberg, with row-level concurrency and no locks. Combined with Stored Procedures and SQL Scripting, customers can confidently migrate mission-critical warehousing workloads to the lakehouse.
Warehousing, analytics, and AI on one architecture. databricks.com/blog/transacti…
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