Enprove is a leading energy consultancy helping energy-intensive industries transition to greener solutions. Through its innovative SaaS platform, Enelyzer, Enprove provides real-time insights to enhance operational efficiency and sustainability. Enelyzer transforms energy data into actionable insights, supporting businesses with reports, visualizations, and sustainability audits.

To deliver these critical insights, Enelyzer requires a robust technical infrastructure capable of managing large-scale, high-frequency time series data. However, its original architecture, built on a monolithic system using relational databases, quickly encountered performance bottlenecks. Challenges such as limited write capabilities, inefficient querying, and scalability constraints made it difficult for Enelyzer to meet growing customer demands. Even after transitioning to a distributed architecture, persistent issues with time series indexing, compression, and storage performance remained.

Recognizing the need for a specialized solution, Enelyzer’s engineering team modernized its stack by adopting InfluxDB Cloud Dedicated, a managed time series database designed for high-performance workloads. And the modernization didn’t stop there. The team rewrote the backend, moving from Scala to Rust, and incorporated Telegraf for continuous, real-time data collection from diverse sources.

These enhancements allowed Enelyzer to overcome its technical limitations and deliver the performance customers needed. With faster querying and aggregations, Enelyzer now provides timely reports, audits, and alerts, enabling businesses to monitor energy usage, respond quickly to anomalies, and drive sustainability initiatives effectively.