Company and use case

Newtrax is a leading provider of safety and productivity solutions for underground hard rock mines. Their primary focus is on creating a safer work environment by using real-time data to monitor and respond to potential hazards. Newtrax’s systems collect data from various sensors and devices installed in mines to provide actionable insights, which help in preventing accidents and improving operational efficiency.

Performance problems to solve

Newtrax initially faced significant challenges with managing the high volume of data generated by their extensive network of sensors. Traditional databases struggled to keep up with the real-time demands, leading to slow query performance and data processing delays. This inefficiency hindered their ability to provide timely safety alerts and operational insights, which are critical in the mining industry.

Performance gains unlocked

By integrating TimescaleDB, Newtrax drastically improved their data management capabilities. The use of hypertables enabled efficient handling of time-series data, reducing query times and enhancing data ingestion rates. Continuous aggregates and automated data retention policies further streamlined operations, allowing Newtrax to deliver real-time safety alerts and comprehensive analytics. These improvements not only increased the system’s reliability but also played a crucial role in enhancing overall mine safety and productivity.