Case Study: Victoria’s Secret achieves 240% faster API performance with MongoDB Atlas

Victoria’s Secret boosts API performance by 240% with MongoDB

Victoria’s Secret, a global specialty retailer, needed a more scalable and cost-efficient database infrastructure to support its e-commerce platform. Their previous system, which managed billions of documents across hundreds of on-premises databases, led to high operational costs and significant developer overhead during troubleshooting. To address these challenges, the company turned to MongoDB and its product MongoDB Atlas.

MongoDB implemented a solution that involved a custom bidirectional replication system to migrate over 4 terabytes of data across 200 databases with zero downtime. This migration resulted in a 240% improvement in API performance, a 90% reduction in provisioned disks, and a 75% reduction in CPU core usage. The move to MongoDB Atlas drastically improved the retailer's scalability and cost efficiency.

Victoria’s Secret