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Databricks Launches Lakebase: AI's New Operational Database
3 Feb
Summary
- Lakebase is a new serverless operational database for OLTP.
- It positions databases as self-service infrastructure for AI agents.
- Early adopters cut application delivery times by 75% to 95%.

Databricks has introduced Lakebase, a serverless operational database service for online transaction processing (OLTP), aiming to establish a new category beyond the data lakehouse. Introduced on February 3, 2026, Lakebase is built on technology from Databricks' acquisitions of Neon and Mooncake, focusing on enabling autonomous AI agents to provision and manage databases. This represents a departure from traditional monolithic database systems.
The architecture separates compute from storage, placing the latter in the data lakehouse. This allows for fully compatible PostgreSQL compute to write directly to lakehouse storage, immediately queryable by analytics engines without ETL processes. This integration facilitates the creation of millions of bespoke applications as AI coding tools reduce development costs.
Early adopters report substantial gains, with companies like Hafnia reducing application delivery times by 92%. EasyJet saw development cycles cut by 56% while building a revenue management hub. Warner Music Group and Quantum Capital Group are leveraging Lakebase for unified production insights and consistent data governance, respectively.




