Case Study: Vestiaire Collective scales sustainable fashion with MongoDB Atlas

A MongoDB Case Study

Preview of the Vestiaire Collective Case Study

Vestiaire Collective doubles sales with MongoDB Atlas

Vestiaire Collective, a global e-commerce platform for pre-loved fashion, faced significant challenges scaling its technology infrastructure to support rapid growth. The increased volume of users, product listings, and purchases led to delays and a slower customer experience. Their legacy data platform was inflexible and could not provide the real-time performance required, hindering their goal of becoming a true tech-led fashion brand. This prompted them to seek a modern database solution from vendor MongoDB.

Vestiaire Collective migrated five core projects, including its product catalogue and social newsfeed, to MongoDB Atlas. The solution provided a flexible, scalable document database that eliminated downtime and freed developers from infrastructure management. The results were immediate, with MongoDB Atlas proving to be significantly cheaper and more energy-efficient, helping reduce their carbon footprint. The platform now seamlessly handles approximately 17,000 new products daily, which contributed to the company doubling its sales in 2020.


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