Databricks Lakebase

Emerging OLTP layer within the Databricks lakehouse platform, competing with managed PostgreSQL and serverless database offerings from major cloud providers

Databricks Lakebase is a new transactional database offering from Databricks, announced in 2025, that brings OLTP (Online Transaction Processing) capabilities natively into the Databricks Data Intelligence Platform. Built on the foundations of Neon (a serverless Postgres platform Databricks acquired) and Mooncake (a Postgres-compatible lakehouse storage engine), Lakebase provides a fully managed, serverless PostgreSQL experience tightly integrated with the broader Databricks ecosystem including Delta Lake, Unity Catalog, and Databricks SQL. The product addresses a longstanding gap in the lakehouse architecture story: while Databricks excelled at analytics, ML, and large-scale data processing (OLAP workloads), it lacked a native transactional database layer. Lakebase enables developers and data engineers to run operational applications and transactional workloads directly within Databricks, eliminating the need to manage separate OLTP systems and reducing data movement between operational and analytical stores. In the broader data infrastructure market, Lakebase positions Databricks more directly against cloud database incumbents like AWS Aurora, Google Cloud SQL, and Azure Database for PostgreSQL, as well as modern competitors like PlanetScale and Supabase. For AdTech and data-intensive enterprises, Lakebase offers a compelling path to unify real-time operational data with large-scale analytics pipelines without leaving the Databricks platform.