Case Study: Digitread Connect transforms industrial IoT data into actionable insights with MongoDB

Digitread Connect builds custom IoT apps in less than a day with MongoDB

Digitread Connect, a Norwegian industrial IoT-as-a-service provider, faced the challenge of effectively processing vast quantities of time-series data from industrial sensors. Their goal was to convert this asset data into valuable insights for their customers but they needed a solution that could work both at the edge and in the cloud while being highly scalable and user-friendly. They turned to vendor MongoDB to address this.

By implementing MongoDB Atlas with Time Series Collections, Digitread Connect gained a simple and high-performance database solution. This allowed them to quickly capture, analyze, and filter data at the edge before uploading it to the cloud. Using MongoDB enabled them to get the solution live for customers in a very short time and drastically reduced the development time for new custom applications from months to less than a day. The core of their platform now runs on MongoDB Atlas, helping customers optimize asset utilization for financial, operational, and sustainable benefits.

Digitread Connect