Databricks today launched LTAP (Lake Transactional/Analytical Processing), a new data processing architecture that unifies OLAP and OLTP on a single copy of data in the lake, eliminating ETL, replicas, and pipelines by design. Lakebase, the foundation of the LTAP architecture, now serves thousands of customers and handles 12 million database launches per day across the platform. Databricks is the world's first LTAP platform, combining Lakebase (serverless Postgres on open object storage) with the Lakehouse under a single governance model, source of truth, and storage layer for all operational, analytical, and streaming data. The announcement was made at DATA + AI SUMMIT – June 16, 2026. According to Ali Ghodsi, Co-founder and CEO of Databricks, "For decades, complicated data infrastructure was a tax that teams were forced to pay. Then agents arrived."