Case Study: Utilitywise achieves 300% higher performance and 50-70% reduced downtime with Redis Redise Pack

Utilitywise Increases Performance of IoT Application Using Redise Pack

Utilitywise, a UK utilities broker serving over 30,000 clients, runs an IoT application that streams live building data to control lighting, heating and ventilation. The application needed much faster data ingest and real‑time analytics to scale beyond its Microsoft SQL Server and Cassandra backends while cutting latency and reducing downtime.

Utilitywise deployed Redis Pack for real‑time ingest, caching and analytics; its built‑in high availability and linear scaling cut latencies from seconds to milliseconds, reduced downtime by 50–70%, and delivered about 300% higher performance—offloading SQL servers and enabling instantaneous control and energy savings.

Utilitywise

Jonathan Wilkinson

Innovation Director