Case Study: NEWTRAX Improves Mining Safety and Real-Time Monitoring with TimescaleDB

Newtrax leverages TimescaleDB to enhance real-time data monitoring and safety in underground hard rock mines, significantly improving operational efficiency and hazard prevention

Newtrax is a leading provider of safety and productivity solutions for underground hard rock mines. To support real-time monitoring and hazard detection, the company had to manage massive sensor-driven datasets, processing 100M+ data points per machine. Traditional databases struggled with the scale and speed required, causing slow queries and delays in delivering critical safety insights. TimescaleDB was used to help address these time-series data challenges.

By implementing TimescaleDB from Timescale, Newtrax used hypertables to efficiently handle large volumes of time-series data, while continuous aggregates and automated retention policies streamlined analytics and operations. The result was faster query performance, improved ingestion rates, and a more reliable real-time system for safety alerts and operational insights. According to Newtrax, these improvements have helped enhance mine safety and productivity, with the team stating they’ve “saved lives using Tiger Data.”

NEWTRAX

Jean-Francois Lambert

Lead Data Engineer