Case Study: Gong achieves millisecond CRM opportunity matching with MongoDB Atlas

Gong speeds CRM opportunity matching to 20-30 milliseconds with MongoDB

Gong, a revenue intelligence platform, faced a challenge managing tens of millions of daily customer interactions and linking them accurately to CRM opportunities. Their previous database lacked transactional (ACID) capabilities, causing slow reads and writes and leaving customers without real-time insights. They needed a high-throughput, low-latency database to power their Deal Association algorithm.

By implementing MongoDB Atlas, Gong gained a transactional database with ACID properties and sharding capabilities. The solution reduced process times from tens of seconds to milliseconds and made queries run ten times faster. MongoDB's support and flexibility also empowered developers, enabling Gong to scale efficiently and plan for future use cases like time series data, all while providing customers with near-instant insights.

Gong