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

Zepto, an Indian quick commerce startup founded in July 2021, has dramatically transformed the grocery delivery industry by offering a 10-minute delivery service on over 15,000 products, achieving a 20% monthly growth rate and $1.5 billion in annualized sales by July 2024. Initially, Zepto's growth was hindered by performance bottlenecks and latency issues stemming from its monolithic SQL database infrastructure. To overcome these challenges, Zepto transitioned to MongoDB Atlas, which enabled them to break their systems into microservices and significantly improve scalability, reducing API latency by 40% and handling six times more traffic. This migration allowed Zepto to enhance operational efficiency, deliver new features quickly, and manage large datasets more effectively, thus improving customer experience and supporting its rapid expansion. MongoDB Atlas's built-in features, such as in-memory caching and real-time analytics, played a crucial role in optimizing Zepto's operations and infrastructure management, leading to increased page load speeds and higher conversion rates.