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

Trebellar cuts storage costs by 50% with Timescale

Trebellar, a company providing a real estate management platform, was facing significant challenges in processing large volumes of time-series data from IoT devices. They needed a solution to handle high-frequency data inputs, normalize it efficiently, and support real-time insights for their platform's machine learning models. To solve this, they turned to Timescale and implemented TimescaleDB.

By adopting TimescaleDB, Trebellar gained the ability to effectively manage and query their large datasets using features like time-bucketing and compression. The solution from Timescale reduced their storage costs by 50% and enabled them to provide real-time analytics and insights to their customers. This enhanced decision-making for building management by optimizing energy usage, occupancy, and air quality monitoring.

Trebellar