Case Study: SAP achieves one million packages per month with MongoDB Atlas

SAP cuts delivery downtime with MongoDB and boosts performance 4x

ASAP Log, a logistics company and courier for major retailers in Brazil, faced infrastructure challenges as its business grew. Its existing systems couldn't handle the high volume of concurrent users, causing outages that threatened its strict service level agreements. The company needed a scalable, high-performance database solution to support its multi-cloud environment and ensure zero downtime for its order management system. They turned to MongoDB and its Atlas platform to meet this challenge.

By implementing MongoDB Atlas, ASAP Log gained a scalable and flexible multi-cloud database platform. The solution resulted in a fourfold improvement in performance and a 60% increase in cost efficiency. The company now reliably processes one million orders per month with 99.99% uptime, supporting its massive growth. MongoDB provided the robust, modern data platform that allowed ASAP Log to transform its customer experience and streamline its operations.

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