Case Study: S&P 500 Computer Software Company achieves seamless scaling, high performance, and faster time-to-market with Redis Enterprise (Redis)

S&P 500 Financial-Technology Company Depends on Redis Enteprise’s Auto-Sharding Capabilities to Run its Microservices Framework

An S&P 500 software company that provides web, mobile, and cloud solutions to over 40 million small businesses, consumers, self‑employed users and accounting professionals faced an outdated data stack: high latency, slow response times, limited throughput, and databases that couldn’t fit into its microservices framework or scale easily. These constraints threatened performance and growth as application usage and user counts increased.

The company adopted Redis Enterprise for its auto‑sharding, seamless clustering, and high‑availability capabilities, using it for real‑time analytics, high‑speed transactions, caching and notifications (including data stored only in Redis). The change delivered faster time‑to‑market, significant cost savings, reduced downtime, and more stable high performance, backed by 24×7 support for mission‑critical layers.