Case Study: Trebellar reduces IoT data storage costs and improves real-time analytics with TimescaleDB

Trebellar offers a platform that consolidates IoT data from commercial properties, helping businesses manage building operations efficiently

Trebellar, a company that provides a real estate management platform for commercial properties, faced significant challenges in processing the large volumes of time-series data generated by their clients' IoT sensors. They needed a database solution that could handle high-frequency data, normalize it efficiently, and support the real-time analytics required for their machine learning models. The complexity of managing diverse data streams was hindering their ability to offer timely, actionable insights to building operators.

By adopting TimescaleDB, Trebellar implemented a high-performance time-series database that integrated seamlessly with their existing PostgreSQL environment. The solution provided by Timescale enabled advanced features like time-bucketing and data compression, which reduced Trebellar's storage costs by 50%. This enhanced their platform's ability to deliver real-time analytics, allowing their customers to optimize critical building operations like energy usage, occupancy, and air quality monitoring.

Trebellar

David G. Quintas

Co-Founder