Databricks Launches LTAP: The First Lake Transactional/Analytical Processing Architecture
Summary
Databricks announces LTAP (Lake Transactional/Analytical Processing), a unified architecture that runs OLAP and OLTP on a single copy of data in the lake, eliminating ETL, replicas, and pipelines. Lakebase underpins LTAP with serverless Postgres on object storage, enabling unified governance and a single source of truth for operational, analytical, and streaming data, with open formats like Delta and Iceberg. The release also introduces features such as cross-cloud disaster recovery, Git-style branching, and autonomous database operations, with LTAP coming soon as part of Lakebase.