Databricks launches Lakehouse//RT real-time analytics engine in beta
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Databricks has released Lakehouse//RT in beta, a real-time analytics engine that runs high-concurrency workloads directly on lakehouse data, aiming to serve real-time analytics without proportional cost growth. Databricks says it delivers sub-100 millisecond latency at 12,000 queries per second, adds capacity one node at a time, and removes the need for a separate serving layer. According to Databricks, customers Aurasell, VisionHeight and nOps reported 6x to 10x lower infrastructure costs after migrating from multi-cluster setups, Apache Pinot and Apache Druid. These figures are the company's account of customer results, not independently verified benchmarks. The beta comes with a promotional offer: a 30% discount on Lakehouse//RT through January 2027.
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- Databricks BlogDatabricks 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.
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