Case Study: Mechademy achieves 87% lower infrastructure costs with Timescale

Mechademy cuts hybrid digital twin infrastructure costs by 87% with Timescale

Mechademy, a company that monitors critical assets for major oil, gas, and energy companies, faced significant scaling challenges with its hybrid digital twin platform. Their initial infrastructure, built on MongoDB, became a bottleneck as diagnostic workloads grew, leading to high CPU utilization, complex manual workarounds for time-series data, and unsustainable operational and financial costs from constant vertical scaling.

By migrating to Timescale's Tiger Data cloud service, Mechademy implemented a native time-series solution featuring hypertables and continuous aggregates. This transition resulted in an 87% reduction in infrastructure costs and a 50x increase in workload capacity, processing 10 million tests every half-hour instead of 200,000. The Timescale solution provided predictable performance scaling, near-zero maintenance overhead, and drastically simplified operations.

Mechademy