Financial analytics at enterprise scale is unforgiving. Queries must return in seconds, not minutes. Thousands of finance professionals need concurrent access during monthly close cycles. And when data volumes grow from hundreds of gigabytes to terabytes, spanning billions of records, the infrastructure underneath must scale without forcing engineers to choose between performance and cost.
This is the challenge the Amazon WW Stores FinTech team faced. We build and operate analytical products covering financial reporting, planning and allocation, self-serve analytics, and AI-powered financial insights, serving thousands of finance users every business day.
As workloads scaled, the gap between what our systems could deliver and what our finance teams needed grew impossible to ignore. The demands were clear:
- Sub-second to single-digit-second query responses across terabytes of financial data
- Hundreds of concurrent users supported during…
