Case Study: ZF achieves faster fleet orchestration with MongoDB Atlas

ZF handles 300K connected vehicles with MongoDB

ZF, a provider of fleet management solutions for the transport and logistics industry, faced a challenge scaling its new SCALAR SaaS platform. Their legacy on-premises environment could not handle the real-time data from over 300,000 connected vehicles, which generated 1.3 million messages daily and billions of monthly messages. They needed a robust, scalable, and cost-effective cloud database solution to support this massive data volume and a shift to serverless development.

By implementing MongoDB Atlas, ZF gained a scalable, multi-cloud foundation. The solution used MongoDB's Time Series collections and Online Archive to manage data efficiently. This provided a frictionless platform for developers, enabling faster innovation and feature releases. The results included a seamless user experience for customers, the ability to process data with zero downtime, and a strong competitive edge, with MongoDB becoming their default database system of choice.

ZF