By merging transactional and analytical workloads, LTAP promises fewer pipelines, lower costs, and better governance.

By merging transactional and analytical workloads, LTAP promises fewer pipelines, lower costs, and better governance.

At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification problem of OLTP and OLAP databases.

Databricks declares the end of pipelines with a unified platform for operational and analytical data - SiliconANGLE

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.