Case Study: Picap achieves faster, scalable logistics and ride-hailing operations with MongoDB Atlas

Picap reduces latency by 60-70% with MongoDB

Picap, a ride-hailing and logistics company operating in Latin America, faced the challenge of needing a highly scalable and mobile-optimized database to power its real-time services. Traditional SQL databases lacked the necessary flexibility and performance. To support its growth and ensure a fast, reliable experience for drivers and customers, Picap turned to vendor MongoDB and its MongoDB Atlas platform.

MongoDB implemented MongoDB Atlas as the core transactional data store, utilizing Time Series Collections and the Atlas Device SDK. This solution efficiently managed geolocation, transactions, and time-stamped logistics data. The results were significant, with latency reduced by 60–70% and the ability to scale to handling 400,000 deliveries per month, greatly enhancing the driver and customer experience.

Picap