After reading this article, we hope you try out AresDB for your own projects and find the tool useful your own analytics needs, too! Real-time analytics applications at Uberĭata analytics are crucial to the success of Uber’s business. In the following sections, we describe the design of AresDB and how this powerful solution for real-time analytics has allowed us to more performatively and efficiently unify, simplify, and improve Uber’s real-time analytics database solutions. An emerging tool for real-time analytics, GPU technology has advanced significantly over the years, making it a perfect fit for real-time computation and data processing in parallel. Released in November 2018, AresDB is an open source, real-time analytics engine that leverages an unconventional power source, graphics processing units (GPUs), to enable our analytics to grow at scale. In the past, we have utilized many third-party database solutions for real-time analytics, but none were able to simultaneously address all of our functional, scalability, performance, cost, and operational requirements. For example, our operations team relies on data to monitor the market health and spot potential issues on our platform software powered by machine learning models leverages data to predict rider supply and driver demand and data scientists use data to improve machine learning models for better forecasting. At Uber, real-time analytics allow us to attain business insights and operational efficiency, enabling us to make data-driven decisions to improve experiences on the Uber platform.
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