From Monolith to Lakebase to LTAP: Rethinking the Database From Storage Up
Databricks, Tuesday, June 30th, 2026
Databricks explains how Lakebase separates storage from compute and introduces LTAP to unify transactional and analytical data.
This technical article details how Databricks reimagined database architecture by decoupling storage from compute.
Traditional monolithic databases keep write-ahead logs and data files on a single machine, creating durability risks and scaling limits. Lakebase externalizes the WAL to SafeKeeper and data files to PageServer, enabling stateless Postgres instances.
The post then introduces LTAP (Lake Transactional/Analytical Processing), which stores operational data once in open columnar formats readable by both transactional and analytical engines, eliminating separate CDC pipelines and giving analytics fresh transactional data without performance impact.