Scaling with Presto on Spark

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…

RaptorX: Building a 10X Faster Presto

RaptorX is an internal project name aiming to boost query latency significantly beyond what vanilla Presto is capable of. This blog post introduces the hierarchical cache work, which is the key building block for RaptorX. With the support of the cache, we are able to boost query performance by 10X. This new architecture can beat…

Presto Unlimited: MPP SQL Engine at Scale

Presto is an open source distributed SQL query engine for running analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Presto was originally designed for interactive use cases, however, after seeing the merit in having a single interface for both batch and interactive, it is now also used heavily for processing…