How Evergen Uses Tiger Data to Scale Its Renewable Energy Monitoring Architecture

Evergen, an Australian company focused on decarbonizing the energy system, sought a scalable time-series database to optimize its energy monitoring architecture. Initially using MongoDB Atlas, Evergen faced technical limitations and high costs, prompting a search for alternatives. After evaluating several databases, including InfluxDB and Amazon Timestream, Evergen adopted Tiger Data's TimescaleDB for its superior performance, scalability, and SQL compatibility. The transition to Tiger Data allowed Evergen to consolidate data storage, improve query performance, and significantly reduce Kubernetes resource usage, while also providing enhanced data retention capabilities and real-time analytics. This shift not only facilitated operational efficiency but also supported Evergen's future growth plans by enabling them to handle increased device data and expand market reach. Tiger Data's robust ecosystem, built on Postgres, also simplified onboarding for new engineers and allowed for greater flexibility in data management and analysis.