Commerce at Scale: Zepto Reduces Latency by 40% With MongoDB

Zepto, a fast-growing Indian startup, revolutionized the Indian grocery delivery industry with its quick commerce model, offering ultra-quick deliveries in under one hour. However, its monolithic infrastructure struggled to scale, causing performance issues and latency problems. To address these challenges, Zepto turned to MongoDB Atlas, a document-based NoSQL database that provided scalability, high reliability, and built-in capabilities such as real-time analytics and data archival. By migrating to MongoDB, Zepto achieved significant improvements in latency reduction by 40%, handling six times more traffic without performance degradation, and increased conversion rates with improved page load times. The company's rapid growth was made possible by the efficient management of its large datasets and the ability to deploy new features quickly.