Case Study: Turvo achieves real-time, ultra-low-latency shipment tracking at massive scale with YugabyteDB

Turvo revolutionizes logistics with real-time shipment data, backed by YugabyteDB

Turvo, the cloud-based real-time AI logistics platform used by major shippers, carriers, and brokers, faced a crisis when its MongoDB data store could not scale to handle massive, mixed time-series and operational datasets with the low latency required. To meet requirements for high scalability, single-digit read/write latency, cloud-native operation, and low total cost of ownership, Turvo selected YugabyteDB (using a fully managed YugabyteDB Anywhere cluster).

YugabyteDB deployed a fully managed 6-node cluster across three availability zones with YugabyteDB Anywhere for monitoring and management, enabling Turvo to reshard and scale seamlessly. The implementation delivered 1,200+ inserts/sec, 300 µs reads and 1.1 ms writes, a 2x cluster scale-up, 10x dataset growth, 6+ rolling upgrades without downtime, no service interruptions during traffic spikes, and allowed Turvo engineers to deliver roughly 3x more app features—demonstrating significant operational relief and measurable performance gains with YugabyteDB.

Turvo

Nick Hristov

Senior Software Architect