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releasesDatabricks·June 23, 2026

Introducing LTAP (Lake Transactional/Analytical Processing): a new data processing architecture

Summary

Databricks introduces LTAP (Lake Transactional/Analytical Processing), a new architecture that unifies transactional and analytical workloads by automatically converting row-oriented OLTP data into column-oriented formats (Delta/Iceberg) directly in the data lake. This eliminates the need for fragile CDC pipelines, providing real-time analytics on fresh data without impacting OLTP performance.

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