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Public story · 2026-07-21 · high
Queries run 30 times faster after the company swapped its legacy BI tool for Amazon Quick, per an AWS case study.
Why now: There's no publish date on AWS's post, so this is dated to July 21, 2026 coverage.
Tradeshift replaced its legacy BI stack with Amazon Quick and runs queries 30 times faster, per an AWS case study. The company also cut reporting overhead by 40%, the kind of number that gets a migration signed off when finance wants proof first.
A named customer with a concrete before-and-after is rare in AI case studies. Most trade in vague percentages with no named source.
Yes, but AWS wrote this one, and Tradeshift is the customer AWS chose to feature. The multipliers come from a vendor selling the tool that produced them, so they're best-case numbers by construction. The post doesn't say how Quick performs on messier data or heavier concurrent load, or what the migration cost in engineering time.
Business intelligence is one of the more agent-shaped workloads out there, per the case study, likely why AWS chose it to showcase Quick. Whether the 40% number holds up outside a vendor blog is the open question.
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