Case Study: Soundsensing achieves 20x faster queries with Timescale

Soundsensing - Customer Case Study

Soundsensing, a company that uses AI and sensors to provide predictive maintenance for HVAC units in commercial real estate, was struggling with slow PostgreSQL query performance as its sensor data grew. These bottlenecks made it harder to deliver timely insights and alerts to property owners and managers.

By moving to Timescale’s time-series database, Soundsensing improved historical query performance by up to 20x and was able to scale from 200 sensors to 2,000 without performance degradation. Timescale’s compression also reduced storage costs, helping the team deliver a more efficient and cost-effective service.

Soundsensing

Ole Johan A. Bjerke

Chief Executive Officer