Case Study: SNCF Connect achieves scalable, seamless ticketing with MongoDB Atlas

A MongoDB Case Study

Preview of the SNCF Connect Case Study

SNCF Connect sold 550,000 tickets a day with MongoDB

SNCF Connect, the app for France's national rail operator, faced significant scalability and maintenance challenges with its legacy Oracle database as user demand grew rapidly. To support the app, which sells over 550,000 tickets daily, the company needed a more scalable and manageable solution and turned to MongoDB and its MongoDB Atlas database service.

By migrating to MongoDB Atlas, SNCF Connect gained a flexible document model that could handle massive scale, including 1 million database connections per minute. The migration was a success with minimal user disruption, and the implementation led to a 29% increase in daily ticket sales during peak periods. MongoDB provided the performance and reliability needed to power the app's seamless travel experience for millions of users.


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