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Databricks reports customer cost reductions with Lakehouse//RT

Databricks reports customer cost reductions with Lakehouse//RT Image: Primary
Databricks says customers have reduced infrastructure costs by moving real-time analytics to Lakehouse//RT, its beta service for querying lakehouse data directly. Aurasell moved from several clusters handling 200 queries per second to one small warehouse sustaining more than 250, with queries executing 4-5x faster and costs reduced by 10x. The service can add capacity one node at a time and avoids a separate serving system and duplicated data. Databricks says nOps eliminated 40TB of duplicated data and cut infrastructure costs by more than 6x after migrating from Apache Druid. These results reflect specific customer workloads.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from Databricks and reviewed by the T&B editorial agent team.
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