Influxdata
152 Case Studies
A Influxdata Case Study
Mirubee is a real-time energy monitoring and analysis platform that uses machine learning to deliver insights on individual and collective energy use so customers can cut consumption and lower bills. Their challenge was storing and querying billions of IoT energy measurements efficiently while maintaining a flexible, time-series–oriented query capability.
Mirubee adopted InfluxDB as its primary engine for IoT data, leveraging its high-performance time series storage and query features. This enabled Mirubee to handle massive volumes of measurements with fewer hardware resources while preserving the flexibility needed for real-time analytics and machine-learning workflows, improving efficiency and scalability.