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Databricks Performance Index is derived statistically from repeating workloads, accounting for changes irrelevant to the engine, and computed against billions of production queries. Lower is better.
As the season of giving approaches, we at Databricks have been making our list and checking it twice--but instead of toys and treats, we've been wrapping up powerful performance improvements for our users. Through analyzing billions of production queries and listening closely to our community's wishes, we're excited to deliver a package of enhancements that make your data workloads run faster and more efficiently than ever.
Crafting performance magic for every workload
Just as Santa's workshop crafts everything from traditional wooden toys to the latest electronic gadgets, Databricks SQL has become the ultimate data workshop, expertly handling diverse workloads for users of all needs. Some teams need robust ETL engines to power their data assembly lines, while others require interactive dashboards for instant insights, and still others seek powerful tools for data exploration and discovery. By carefully analyzing customer feedback and usage patterns across billions of queries, we've identified the top items on our users' wish lists:
ETL teams need high-powered processing lines to meet production deadlines
BI users requesting instantly responsive dashboards for their growing data collections
Data scientists and analysts seeking lightning-fast tools for exploring complex datasets