Case Study: L’Oréal improves app performance and developer productivity with MongoDB Atlas

L’Oréal reduces latency to 10ms with MongoDB

L’Oréal, a world leader in the beauty industry, faced significant performance challenges with its internal applications. Their existing NoSQL database lacked the power to process real-time complex calculations on vast volumes of data without causing latency, which hindered user experience and required excessive backend scripting. To address this, L’Oreal partnered with vendor MongoDB and migrated to their product, MongoDB Atlas on Google Cloud.

The solution implemented by MongoDB enabled L’Oréal to dramatically improve data processing speed and simplify database management. The results were substantial, with latency reduced from seconds to just 10 milliseconds. This created a faster, more scalable backend and significantly increased developer efficiency and agility, allowing the internal Tech Accelerator team to innovate at speed.

L’Oreal