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…
Just a few weeks ago we hosted PrestoCon Day, our annual virtual community conference. Thank you to everyone who attended – it was an awesome day! We had a fantastic agenda with many Presto users sharing why they chose Presto and how they’re using it to power some pretty sizable workloads. Sign up for the…
Last month the Computer History Museum in Mountain View, California, reverberated with “all things Presto,” at our PrestoCon 2022 conference. Back for the third time—and the first time post-pandemic—PrestoCon was ground zero for training, knowledge sharing, and inspiration about the open-source Presto for data analytics and lakehouses, as well as for the vibrant Presto community….
The Presto Foundation is thrilled to announce that today Presto has been awarded “2022 Editors Choice for Top 3 Data and AI Open Source Projects to Watch” from BigDATAwire. Past winners are a true who’s who in the data world including Apache Spark (2020), Apache Kafka (2018), MongoDB (2019), Apache Cassandra, ElasticSearch and Redis (2021)….
This is a joint publication by the PrestoDB and Delta Lake communities Due to the popularity of both the PrestoDB and Delta Lake projects (more on this below), in early 2020 the Delta Lake community announced that one could query Delta tables from PrestoDB. While popular, this method entailed the use of a manifest file…
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…