Case Study: Drivy achieves sub‑millisecond performance and scalable real‑time analytics & fraud detection with Redis Enterprise

Drivy Trusts Redis Enterprise for Real-Time Analytics and Fraud Detection

Drivy, a Paris-based peer-to-peer car rental platform operating across Europe, faced rapid user and rental growth with plans to expand to the U.K. and a relatively small operations team. To keep its mobile and web apps responsive as it scaled (now managing data for 36,000 cars and a growing user base), Drivy needed a database that delivered high availability, seamless scaling, and consistently high performance without adding operational complexity.

Drivy adopted Redis Enterprise as its primary in-memory database for session storage, job and queue management, caching, throttling, feature toggles, short-term analytics, fraud detection and more. The move delivered sub-millisecond latency, reduced downtime by up to 30%, cut the need for specialized resources by about 30%, and produced 30–50% more stable, higher performance — allowing Drivy to scale reliably while keeping customer experience fast and accurate.

Drivy

Michael Bensoussan

Lead Operations, Data and Tooling