Case Study: Betclic achieves real-time betting scalability and 400ms latency with MongoDB Atlas

Betclic cuts betting latency to 400ms with MongoDB

Betclic, a sports betting company, faced significant challenges with its legacy SQL monolith, including data latency of up to 10 seconds, operational silos, and scalability bottlenecks that hindered growth and frustrated users. To achieve a more agile and responsive architecture for real-time betting, they turned to MongoDB, specifically utilizing MongoDB Atlas.

The solution involved implementing MongoDB Atlas to create a scalable, domain-driven design. This allowed Betclic to reduce end-to-end latency dramatically to 400 milliseconds, handle traffic peaks of 100,000 reads per second with zero major database incidents, and achieve infinite scalability, enabling seamless live betting and faster feature development.

Betclic