Case Study: RMS (world’s leading catastrophe risk modeler) achieves real-time, scalable risk management with MongoDB (NoSQL database)

RMS Revolutionizes Risk Management for Insurance Industry with Secure Platform Built on MongoDB

RMS, the world’s largest catastrophe modeling company, built RMS(one)—the insurance industry’s first cloud-based, open, real-time risk management platform—to centralize diverse, high-resolution catastrophe and exposure data for enterprise-wide decision making. The challenge was to securely store and serve massively variable client attributes at extreme scale (hundreds of terabytes and trillions of documents) while enabling real-time analytics for underwriting and capital planning.

RMS chose MongoDB’s flexible document model and horizontally scalable, secure architecture to power RMS(one); the platform already stores more than 100 billion documents per year and is designed to scale to trillions. This enabled rapid development, consistent high performance and secure access to a single source of risk analytics, helping insurers improve underwriting, portfolio management and capital efficiency.

RMS

Philippe Stephan

Chief Technology Officer