Case Study: Amazon achieves 10x faster query performance with Dremio

A Dremio Case Study

Amazon achieves 10x faster query performance with Dremio

Amazon's Supply Chain Finance Analytics team faced significant challenges in managing their data-intensive environment, which required stitching together hundreds of tables to create a unified financial view. Their existing BI tools and data warehouse could not handle the enormous volume of data, leading to failed extracts and queries that took over four minutes to complete. They initially attempted a complex solution with over 20 materialized views, but it was not performant, scalable, or maintainable. They required a better solution to streamline ETL and provide reliable insights, leading them to evaluate Dremio.

The team implemented Dremio, setting it up quickly using an AWS CloudFormation template. Dremio provided a user-friendly interface for SQL and no-code analytics, seamless BI tool integration, and the ability to automatically build reflections triggered by new data in Amazon S3. This streamlined their ETL process and eliminated the need for numerous materialized views. As a result, Dremio helped Amazon achieve 10x faster query performance, reduce project completion times by 90%, and enabled the processing of billions of records within minutes.


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