Databricks Lakehouse Shows Up to 90% Query Performance Improvement for Users

Databricks Lakehouse has achieved a 77% improvement in performance since 2022. Organizations migrating to the Lakehouse, including Lumen Technologies, Trek Bicycle, AXA Japan, and Posti, have reported substantial benefits. Lumen Technologies experienced a 90% query performance improvement after migrating 133 TB of data, alongside a 30-40% reduction in compute costs using the Lakehouse's Serverless SQL warehouse. Trek Bicycle reported analytics speeds that are 80-90% faster post-migration.

AXA Japan noted a 60% reduction in warehouse costs, while Posti and Nationwide reported 30% and 29% reductions in data-landscape costs, respectively. Vivriti Capital achieved a 25-30% lower total cost of ownership after migrating from Redshift in approximately eight weeks. IndusInd Bank completed a migration of 1.5 PB of data in 15 months.

The Lakehouse//RT serverless SQL warehouse boasts a minimum latency of 10 ms and can handle up to 12,000 queries per second. The trend towards SQL-only workloads continues, with over 90% of enterprise data workloads classified as such. This follows previous reports highlighting the Lakehouse's advantages over traditional data warehouses, emphasizing its role in treating AI as a first-class workload. Organizations like Komprise, McKinsey, Gartner, and Deloitte are actively researching and validating these performance metrics.