Migrating to Presto – How Bolt Built a Data Platform Architecture for Scalability and Cost Efficiency

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…

Customer-Facing Presto at Rippling – Andy Li, Rippling

Last month we hosted PrestoCon, a return to in-person events that showcased the community development of Presto. In this blog we’ll detail Rippling’s presentation on their Presto use case, including their architecture, key optimizations, and hard earned lessons. You can also check out their full presentation here. Background Rippling is a popular HR and payroll…

What is Presto on Spark?

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…

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…