Case Study: Amazon Accelerates Supply Chain Decision Making with Dremio

Amazon Accelerates Supply Chain Decision Making by Implementing an Innovative Analytics Architecture using Dremio

Amazon’s Supply Chain Finance Analytics team needed a faster, more scalable way to deliver high-performance BI reporting across billions of rows of supply chain data. Their existing architecture was complex, relied on numerous materialized views and ETL pipelines, and struggled with long query times, limited filter performance, and heavy maintenance overhead. To address this, Amazon evaluated Dremio alongside other options.

Amazon implemented Dremio to simplify ETL, unify access to data in Amazon S3, and accelerate analytics with reflections, auto query planning, and seamless BI integration. With Dremio, Amazon improved query performance by 10x, cutting response times from 60 seconds to 4–6 seconds, reduced setup time by 90%, and eliminated up to 60 hours of work per project through automated query planning while supporting thousands of concurrent users.

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