Databricks unifies operational and analytical data

Databricks unveiled Lake Transactional/Analytical Processing, a new architecture that unifies operational and analytical workloads on a single copy of data in a data lake. The approach eliminates change data capture pipelines, ETL processes, and replicated databases. A real-time analytics engine delivers millisecond response times without separate serving infrastructure.