Case Study: Price Forbes doubles performance with MongoDB Atlas

Forbes doubles performance and hits 90% Placement Hub adoption with MongoDB

Price Forbes, the specialty insurance arm of the Ardonagh Group, faced a significant technical challenge. Their rapid growth through acquisitions and the need to manage an incredibly diverse range of insurance products, from satellites to body parts, created a polymorphic data nightmare. Their legacy MySQL databases forced impossible trade-offs between rigidity, performance, and complexity, hindering the development of a modern quote-and-bind platform. They turned to MongoDB, specifically MongoDB Atlas, for a solution.

Implementing MongoDB Atlas allowed Price Forbes to leverage a flexible JSON data model that perfectly matched their varied product structures, storing everything in a single, searchable collection. After migrating from a slower, limited MongoDB-compatible service, their performance more than doubled. The solution, enhanced by reactive programming drivers, powered their new Placement Hub to achieve a 90% adoption rate. Furthermore, MongoDB’s tools like Vector Search are now enabling AI initiatives such as automated claims estimates and document intelligence, positioning the company at the forefront of innovation.

Forbes