Case Study: Easee reduces storage costs and simplifies time-series operations with Timescale

Easee cuts time-series storage 35–50% with Timescale

Easee, a Norwegian maker of smart EV-charging hardware, faced high costs and operational complexity from its split AWS Aurora and Redis database architecture. This setup struggled to efficiently handle the continuous time-series telemetry from over one million chargers, resulting in storage bloat and fragile ingestion performance as the company scaled.

By migrating to Timescale's Tiger Cloud on AWS, Easee consolidated its operations onto a single platform. The solution provided massive storage reduction through compression and data tiering, cutting their storage footprint by 35-50% and significantly reducing costs. Timescale's fully-managed service also simplified operations, improved real-time visibility, and provided a scalable foundation for Easee to triple its fleet of chargers.

Easee