Case Study: Soundsensing achieves 20x faster queries with Timescale

Soundsensing achieves 20x faster queries with Timescale

Soundsensing, a company specializing in predictive maintenance for HVAC units, faced performance bottlenecks and slow query speeds as their sensor data grew using a traditional PostgreSQL database. This hindered their ability to provide timely insights to commercial real estate clients. To solve this, they implemented Timescale's Tiger Data service.

By transitioning to Tiger Data, Soundsensing achieved queries that were up to 20 times faster. The Timescale solution also allowed them to seamlessly scale from 200 to 2000 sensors without performance issues and significantly reduced their storage costs through compression, leading to more efficient and cost-effective customer solutions.

Soundsensing