Case Study: Decathlon scales global pricing with MongoDB Atlas

Decathlon migrates 100% of marketplace partners with MongoDB Atlas

Decathlon, a global sports retailer, faced significant challenges with its legacy PostgreSQL-based pricing system, Masterprice. The eight-year-old system struggled to scale under the immense load of processing millions of daily price changes across 85 countries, leading to severe technical debt and infrastructural bottlenecks. To modernize and gain flexibility, Decathlon partnered with vendor MongoDB to rebuild its platform using MongoDB Atlas and MongoDB Atlas Online Archive.

The solution involved migrating to MongoDB Atlas for its document model, which natively handles nested pricing data and simplifies architecture through denormalization. This eliminated relational bottlenecks and, combined with Online Archive for cost-effective cold storage, allowed Decathlon to focus on business value. The results were seamless; MongoDB enabled the successful migration of 100% of marketplace partners and 4 million marketplace processes without disruption, providing a future-ready system capable of handling massive daily data points.

Decathlon