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

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.

The AGI moment? Databricks' new releases zero in on support and deployment of AI agents - SiliconANGLE