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…
Today we are happy to share that IBM watsonx.data, a Presto-based Open Data Lakehouse architecture, is now generally available. Back in April we shared that IBM had joined the Presto Foundation through the acquisition of Ahana. To reiterate what we talked about then, we believe that this is an exciting time for the Presto open…
Today we’re thrilled to share that IBM has acquired Ahana, the venture-backed SaaS for Presto startup company, and we want to write more about our belief in Open Source and why IBM and Ahana are joining forces for the benefit of Presto. We believe that this is an exciting time for the Presto project. We’re…
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…