Case Study: Bazaarvoice achieves scalable, real-time product catalog performance with MongoDB

A MongoDB Case Study

Preview of the Bazaarvoice Case Study

Bazaarvoice processes workloads 3x faster with MongoDB

Bazaarvoice, a company that manages one of the world's largest product catalogs for online shoppers, faced the challenge of ingesting data on an astronomical scale. With hundreds of millions of product updates daily, their existing infrastructure was hitting capacity limits. They needed a highly scalable and flexible database solution from their vendor, MongoDB, to avoid risky migrations and support future growth without compromising performance.

The solution implemented by MongoDB involved sharding the MongoDB Atlas cluster to enable horizontal scaling. This process, guided by MongoDB Consulting, was completed with zero downtime. The results were significant: Bazaarvoice can now process workloads three times faster, handle billions more documents, and support real-time updates. This scalability ensures they can manage massive traffic surges, like those during Black Friday, and frees developers to focus on innovation.


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