Case Study: Vaillant boosts IoT scale and performance with MongoDB Atlas

Vaillant boosts IoT API throughput by 250% with MongoDB Atlas

Vaillant, a leading international heating, ventilation, and air conditioning (HVAC) manufacturer, faced significant scaling challenges with its IoT platform. As the number of connected devices grew rapidly to 70,000, its existing Azure CosmosDB database struggled with performance, frequent crashes, and slow response times due to the high volume of data. Vaillant needed a better database solution from a vendor like MongoDB to handle its IoT time-series data and unlock the value of its connected devices.

By migrating to MongoDB Atlas on Microsoft Azure, Vaillant implemented a fully-managed solution that provided high-speed data ingest, real-time analytics, and a flexible data model. The results were immediate, with a 250% increase in API throughput and a 99% reduction in database size. MongoDB Atlas eliminated downtime, allowed for automatic scaling, and enabled Vaillant to launch new services like its serviceASSIST app, fulfilling its original vision for IoT-powered customer solutions.

Vaillant