Case Study: Bpifrance achieves real-time data access with MongoDB Atlas

Bpifrance achieves real-time data for 7 million contracts with MongoDB

Bpifrance, a financial services institution, struggled with a highly complex 30-year-old legacy system. This included 700 applications and 1,500 databases that relied on fragile nightly batch processes, causing data delays of up to five days and creating centralized bottlenecks for its 240 agile teams. To overcome these challenges and achieve real-time data processing, Bpifrance turned to MongoDB and its product MongoDB Atlas.

By implementing a real-time 'Data In Flight' architecture using MongoDB Atlas and Confluent Kafka, Bpifrance decentralized data modeling and empowered its teams. The solution provided a consolidated 360-degree view of 7 million contracts and enabled instant querying of data. As a result, Bpifrance achieved true real-time data processing, improved the accuracy of its recommendation engine, and efficiently manages 450 million documents within a highly efficient 250 GB footprint using MongoDB.

Bpifrance