Case Study: Koinex cuts developer time by two‑thirds and solves scaling challenges with MongoDB Atlas

Leading digital cryptocurrency exchange cuts developer time by two-thirds and overcomes scaling challenges with MongoDB Atlas

Koinex, launched by Discidium Internet Labs in August 2017, quickly became India’s largest cryptocurrency exchange by volume but ran into severe scaling and developer bandwidth challenges. Sudden spikes in trading (one coin jumped to 50x volume) exposed limits of their PostgreSQL setup—read/write times slowed, CPUs spiked, and the platform topped out near 1,000 transactions/sec—while a small team needed to deliver a fast, reliable trading experience and new products under tight timelines.

Koinex moved 80% of real-time data to MongoDB Atlas on AWS, leveraging built-in sharding, a flexible document model, and a fully managed service to distribute write load, reduce ops overhead, and support varied crypto data structures. The change let them build the new trading engine in 20–40 days instead of 3–4 months (cutting developer time by roughly two-thirds), scale smoothly for market spikes, launch new products rapidly (including a peer-to-peer Loop service in 17 days), and maintain enterprise-grade security and cost control.

Koinex

Rakesh Yadav

Co-Founder & CTO