AI & Enterprise
Databricks unveils unified architecture for operational and analytics data, targeting AI agents
Databricks on Monday unveiled a new data architecture that integrates transactional databases and analytics systems. At its Data+AI Summit in San Francisco, the company introduced its lake transactional/analytical processing (LTAP) architecture and a real-time analytics engine designed to deliver millisecond responses without separate systems. Databricks said LTAP uses a single dataset in a data lake for both operational and analytics workloads, removing the need for CDC pipelines, ETL processing and replica databases.
