How We Rebuilt Countly for Real-Time Analytics at 100+ Billion Data Points
Countly’s original architecture was built around a simple idea: process an event, update the relevant metrics, and make the result available immediately. MongoDB handled the detailed events, analytical aggregates, and operational data behind the platform. That model worked well for years. Then our customers began operating at a different scale. They were collecting billions of events, retaining longer histories, and adding more custom properties.