Case Study: SHOPLINE scales its commerce platform with MongoDB Atlas

SHOPLINE powers 350,000 merchants across Asia with MongoDB Atlas

SHOPLINE, Asia's largest smart commerce platform supporting over 350,000 merchants, faced the challenge of scaling its complex data infrastructure to handle massive growth and peak shopping events without any downtime. Their small DevOps team was stretched thin managing their self-managed MongoDB community deployment on AWS, which created friction for developers and made it difficult to meet complex compliance and security demands as the company expanded.

By migrating to MongoDB Atlas, the fully managed cloud database service from MongoDB, SHOPLINE achieved a zero-downtime migration and gained automatic scaling, best-in-class security, and 24/7 support. The solution provided measurable impact: creating a new database for developers was reduced from over half a day to just three minutes, and the platform ensures optimum performance during critical retail events. MongoDB's solution saved SHOPLINE time and costs, providing the peace of mind that their system is always on.

SHOPLINE