Case Study: Cognigy achieves scalable, high-performance conversational AI with MongoDB

Cognigy handles 1,000 database operations per second with MongoDB

Cognigy, a provider of AI-powered customer service solutions, faced the challenge of developing a complex conversational AI platform that could integrate with diverse systems and communication channels. They needed to scale their solution for a growing user base while maintaining minimal latency and providing a tailored experience for each user. To build this platform, Cognigy utilized MongoDB as its data foundation.

The solution was built using MongoDB's document model, which aligned with Cognigy's technical stack and provided the necessary schema flexibility. By leveraging MongoDB's capabilities, including GridFS for file management and replica sets for high availability, Cognigy achieved exceptional performance and scalability. MongoDB enabled Cognigy.AI to handle hundreds of queries per second, totaling around 1,000 database operations during peak loads while managing over 1 TB of data, ensuring peak performance levels for their expanding user interactions.

Cognigy