Results: How three client libraries handle stream processing at scale
See detailed performance metrics and code behind stream processing tasks executed on Quix, Spark and Flink. We tested performance, efficiency, ease of use and scalability.
Our experience testing each client library
Go behind the scenes with one developer as we set up and test Quix, Spark and Flink. A key question is usability, because time wasted wrangling complex infrastructure means less time building great data-driven products.
Try Quix for yourself with a no-code demo
Why the data pipeline is changing everything
Find out why analysts and market-watchers agree that traditional data processing must be replaced by stream processing. It’s happening now as innovators embrace new opportunities for greater personalization, automation and revenue.