Case Study: Kempower achieves sub-second EV charging telemetry queries and 93% compression with Tiger Data on AWS

Kempower achieves 93% compression across 20,000+ charging points with Timescale

Kempower, a Finland-based manufacturer of electric vehicle charging hardware, faced unsustainable costs and operational friction with their Elasticsearch-based telemetry system for their Charge I cloud platform. As their global network grew to over 20,000 charging points, their storage costs scaled linearly and handling late-arriving data became a manual burden. They needed a solution that offered superior compression, predictable pricing, and could handle their IoT-scale time-series data.

By migrating to Timescale's fully-managed cloud platform on AWS, Kempower implemented a highly efficient data model. This solution delivered a 93% compression ratio, reducing an estimated 17 terabytes of data to just 2 terabytes and decoupling their costs from fleet growth. Timescale enabled sub-second query performance for customer dashboards, handled late-arriving data seamlessly, and eliminated the need for a dedicated database operations role, providing operational simplicity and reliability as the company scales.

Kempower