MedeAnalytics adopted Redis Enterprise as a primary database, using it to support high-speed transactions and search/secondary indexing.
Since moving to Redis Enterprise, MedeAnalytics has been able to reduce its operation costs and specialized personnel, cut its downtime, speed time to market, and support higher, more stable performance.
Redis Enterprise is really fast and easy to operate. It helped us deliver applications faster and with greater reliability than ever before.
Operations Manager, MedeAnalytics
To meet the rigorous standards of next-generation applications, businesses need to adopt analytics practices in order to generate intelligent customer experiences. MedeAnalytics, a pioneer in healthcare analytics, develops intelligent cloud-based healthcare analytics solutions across the healthcare system. The company offers patient performance management solutions for healthcare providers in the U.S. and U.K.
As MedeAnalytics’ application user count grew, the team realized its previous database couldn’t handle the new level of traffic—high latency and slow response times became an incremental issue. Plus, the team wanted to scale to multiple locations/sites.
In order to guarantee a high level of performance for its customer-facing analytics platform, MedeAnalytics switched to Redis Enterprise. Now, MedeAnalytics can effortlessly manage the influx in customer transactions and a variety of application scenarios without a loss in performance. For its e-commerce application, MedeAnalytics uses Redis Enterprise as a primary database for high-speed transactions and search/secondary indexing.
With Redis Enterprise’s consistently high performance, MedeAnalytics’ customer-facing application has experienced a welcome reduction in downtime. Redis Enterprise’s built-in data structures and modules have given MedeAnalytics an advantage in delivering real-time personalization quickly with low development overhead. The team appreciates the 24/7 support for its mission-critical Redis layers, and Redis Enterprise has helped reduce costs tremendously and helped the team achieve faster time to market.
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