Case Study

The Criticality of Analytics at Uber

The Criticality of Analytics at Uber

Pages 7 Pages

Uber relies on Presto as the core engine for its hyperscale analytics, supporting over 400,000 daily queries across 256PB of data. Presto’s ability to separate compute from storage, execute cost-optimized distributed queries, and handle diverse workloads enables Uber to deliver real-time insights and advanced analytics. Uber enhanced Presto with custom automation, security, and workload management, contributing improvements back to the open-source community. Presto powers Uber’s dashboards, data science, OLAP, and federated queries across multi-cloud environments—solidifying its role as a unified analytics platform for scalable, low-latency data processing.

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