Databricks launches Lakehouse//RT to serve real-time analytics without proportional cost growth

Databricks introduced Lakehouse//RT, a real-time analytics engine that runs high-concurrency workloads directly on lakehouse data and is now available in beta. The company says it delivers sub-100 millisecond latency at 12,000 queries per second, adds capacity one node at a time, and avoids a separate serving layer; customers Aurasell, VisionHeight and nOps report 6x to 10x lower infrastructure costs after migrating from multi-cluster setups, Apache Pinot and Apache Druid.