Case Study: Repsol’s Waylet achieves 10 million-user scale and 100% uptime with MongoDB Atlas

Repsol's Waylet hits 10 million users with MongoDB Atlas and 0.2 ms latency

Klikin, the software company behind Repsol's Waylet super app, faced the challenge of scaling its platform to handle 10 million users. The app, which links mobility and home energy services, needed to manage massive traffic spikes and rapidly integrate new, complex data types like energy meter readings without forcing its engineering team to become full-time database administrators. They turned to MongoDB and its fully-managed cloud service, MongoDB Atlas, to achieve this.

By implementing MongoDB Atlas, Klikin built a cloud-native foundation that provided the flexibility and effortless scale required. The solution enabled granular energy tracking with Time Series collections and supported rapid cross-border expansion. The results included 100% uptime over eight years, the ability to handle over 10,000 queries per second with a read latency of just 0.2ms, and a 4.8-star app rating, all managed by a lean team without dedicated DBAs.

Repsol's Waylet (Klikin)