Blinkit, India’s leading instant delivery service, uses Presto on AWS to help them deliver on their promise of “everything delivered in 10 minutes”. Blinkit moved to Presto on S3 from their cloud data warehouse for more flexibility and better price performance and created open data lakehouse architecture which includes Presto as their SQL engine for ad hoc reporting, Ahana as SaaS for Presto, Apache Hudi and Iceberg to help manage transactions, and AWS S3 as their data lake.
Platform24, the digital healthcare SaaS platform for healthcare providers, based in Sweden uses Presto as SQL engine for their Modern Data Platform to address the need of Open Source, Self hosted, Kubernetes friendly, Reliable, Scalable and Cost effective, etc.
Rippling, a popular HR and payroll platform, uses Presto to power their data platform and enable real-time querying at scale. Coupled with Apache Pinot, it can handle large amounts of data at significant scale. Specifically, they’ve focused on utilizing Presto for projection push down. For complex SQL queries that get translated into even more complex SQL statements, they can push down certain operations to save time. They’ve also implemented dynamic filtering push down, which pushes the filtering down into the connector and allows for the scan to be filtered as well. This results in a significant reduction in the amount of data being scanned and processed.