Databricks Launches LTAP, Unifying OLAP and OLTP Workloads on a Single Data Lake to Eliminate ETL Pipelines
Summary
Databricks launches LTAP, a groundbreaking architecture unifying OLAP and OLTP workloads on a single data lake, eliminating costly ETL pipelines entirely while its foundation, Lakebase, already serves thousands of customers processing 12 million database launches daily.
Key Points
- Databricks launches LTAP (Lake Transactional/Analytical Processing), the world's first architecture that unifies OLAP and OLTP workloads on a single copy of data in the lake, eliminating ETL pipelines, replicas, and data synchronization overhead entirely.
- Lakebase, the foundation of LTAP, now serves thousands of customers including Block, Ensemble, and Zillow, processing 12 million database launches per day, and gains new enterprise features including cross-cloud disaster recovery, git-style branching, and autonomous database operations.
- LTAP stores all operational, analytical, and streaming data directly in open formats — Delta and Iceberg — governed through Unity Catalog, allowing transactional and analytical workloads to scale independently with no performance tradeoffs and no hidden pipelines.