At PrestoCon Day we heard from Bolt, a ride sharing app with 100 million users across 45 countries in Eastern Europe, who shared why they chose Presto to underpin their data architecture platform. By leveraging Presto’s capabilities, Bolt was able to address scalability limits, cost efficiency, and workload management challenges. In this blog we’ll recap…
We believe that data analytics should be democratized—and is why we innovate Presto with state-of-the-art database technology. Trusted governance is important to us—and is why we model our project governance and by laws after the Linux Foundation. TO OUR FELLOW DATA ENGINEERS, SOFTWARE DEVELOPERS, AND DATA PLATFORM ENTHUSIASTS: As the use of data analytics and…
1. Reporting and dashboarding This includes serving custom reporting for both internal and external developers for business insights and also many organizations using Presto for interactive A/B testing analytics. A defining characteristic of this use case is a requirement for low latency. It requires tens to hundreds of milliseconds at very high QPS, and not…
Overview Presto was originally designed to run interactive queries against data warehouses, but now it has evolved into a unified SQL engine on top of open data lake analytics for both interactive and batch workloads. Popular workloads on data lakes include: 1. Reporting and dashboarding This includes serving custom reporting for both internal and external…