Databricks Unveils LTAP to End 40-Year OLTP-OLAP Split as AI Agents Create 80% of Databases
Updated
Updated · Forbes · Jun 16
Databricks Unveils LTAP to End 40-Year OLTP-OLAP Split as AI Agents Create 80% of Databases
3 articles · Updated · Forbes · Jun 16
Summary
Databricks launched LTAP at its San Francisco Data + AI Summit, pitching a single architecture where transactional and analytical engines work on one shared dataset instead of separate copies.
AI agents drove the design: CEO Ali Ghodsi said they need instant access to live operational data and on-demand databases, making traditional CDC, ETL and dual-system setups too slow and complex.
Lakebase underpins LTAP by running serverless PostgreSQL on cloud object storage and writing transactional data in Apache Iceberg, which Databricks says removes pipelines between OLTP and OLAP.
Databricks said about 80% of databases on its platform are now created by agents; Lakebase reached general availability on AWS in February and handles millions of database launches a day.
The company also introduced Lakehouse//RT, promising sub-100-millisecond latency at up to 12,000 queries per second, while Ghodsi denied reports of a new funding round at a $165 billion-$175 billion valuation.
Can Databricks' new architecture finally end the trade-offs between fast transactions and deep analytics?
Will unifying data for AI simplify governance, or create a single, more vulnerable point of failure?
Databricks LTAP 2026: Bridging OLTP and OLAP for the AI Agent Era
Overview
On June 16, 2026, Databricks unveiled Lake Transactional and Analytical Processing (LTAP), a breakthrough that unifies transactional (OLTP) and analytical (OLAP) workloads in a single system. This marks a major shift for enterprise data management, enabling real-time, consistent data access essential for today’s data-driven operations. LTAP directly addresses the growing needs of AI-driven enterprises, where AI agents increasingly handle business processes and require immediate, accurate data to function effectively. By bridging the gap between OLTP and OLAP, LTAP sets a new standard for supporting modern, AI-powered business environments.