Case Study: Under Armour achieves scalable, high-performance ecommerce with MongoDB

Under Armour - Customer Case Study

Under Armour, a leading performance apparel and footwear brand, needed a faster, more flexible ecommerce site in 2011 to better reflect its brand and improve shopability. The existing V4 platform (running since 2007) suffered from CMS and UI limitations and SQL Server–related scalability problems, and the company faced a compressed eight-month timeline to launch an upgraded site before the holiday season.

Under Armour built a custom V5 platform centered on MongoDB, leveraging its dynamic schema, sharding, multi–data-center replication and high read/write performance to store product data, page definitions and image recipes while keeping transactional data in a relational database. The new architecture gave developers and content teams more control (content-driven page models, previews and scheduled publishing), delivered excellent performance and reliability across two busy holiday seasons, and scaled using commodity hardware — positioning the company for continued growth and a MongoDB-led V6 plan.

Under Armour

Brian Massey

Director of Ecommerce Information Systems, Under Armour