LTAP: The first Lake Transactional/Analytical Processing architecture | Demo
Databricks unveils LTAP, combining Lake Base (managed Postgres) and a transactional/analytical engine for real-time agentic data workflows.
“So Lake Base is open source Postgres fully managed by Databricks with separated storage and compute and it's really easy to get started.”
Databricks demoed LTAP, billed as the first Lake Transactional/Analytical Processing architecture, pairing Lake Base (fully managed open-source Postgres with separated storage/compute, branching, and backup/restore) with analytical querying to unify operational and analytical data. It targets real-time agentic use cases like flagging VIP banking customers before they leave the branch, positioning Databricks against traditional separated OLTP/OLAP stacks.