Case Study: Applivery scales AI and feature delivery with MongoDB Atlas

Applivery scales 400% and cuts feature delivery from weeks to days with MongoDB

Applivery, a Spanish endpoint management and security company, faced the challenge of handling a massive and unpredictable stream of unstructured data from diverse devices. Legacy relational databases could not efficiently manage the constantly mutating data schemas caused by frequent OS updates or support the company's 400% growth. They needed a flexible, scalable solution to accelerate development and avoid complex migrations, leading them to the vendor MongoDB and its product MongoDB Atlas.

The solution implemented by MongoDB was its flexible document model, which allowed Applivery to store complex configurations in single documents without rigid schema migrations. Using MongoDB Atlas supported massive scaling to billions of data points and enabled the creation of AI agents with procedural memory via Atlas Vector Search. The results were transformative: feature delivery was accelerated from weeks to just days, engineering workloads were reduced through automation, and operating costs were significantly lowered.

Applivery