Databricks launches Lakehouse//RT real-time analytics engine
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Databricks releases Lakehouse//RT, an engine that can run real-time analytics workloads directly on the lakehouse. Databricks claims the engine delivers sub-100-millisecond latency at 12,000 QPS, and that cost does not grow proportionally with query volume. Lakehouse//RT is currently in beta. Databricks says users who try it before January 2027 can get a 30% discount. The latency and cost figures above are Databricks' claims.
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- Databricks BlogLakehouse//RT: Scale real-time analytics, not your bill
Databricks introduces Lakehouse//RT, a real-time analytics engine built to serve high-concurrency, low-latency workloads directly on governed lakehouse data without costs scaling proportionally with query volume. It claims sub-100 millisecond latency at 12,000 queries per second, node-level autoscaling, and elimination of separate serving layers like Druid or Pinot, with cited customers reporting 6x to 10x lower infrastructure costs. Lakehouse//RT is available in beta, with a 30% discount through January 2027.
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