A concise, pure Python alternative to PyFlink

Flink is so popular because its been the only reliable solution for stateful stream processing—but many applications don’t need Flink’s full power (and complexity). It’s like trying to crack a nut with a jackhammer. Now there’s a simpler alternative.

Quix provides a lightweight Python library with built-in state management that is designed to run in Docker containers. With Quix you can build and run stateful operators whilst our library takes care of at-least-once processing guarantees, managing state stores, error handling and graceful application shutdown.

Windowed calculations lie at the heart of stream processing. Our library includes declarative operators for Sliding, Tumbling, Hopping and Session Windows.

These are bleeding edge features that are still in beta, but you can try them out right now.

Most real-world applications aren’t working with "big data". So why use a gigantic framework to tackle small problems?

Quix applications have a small footprint and run in Docker. If you need more processing power you can scale the container horizontally with replicas, all without changing a line of code.

Because our library is based on Docker, it's easy to add system dependencies or libraries to support your application, that’s not the case with Flink!

It’s also super easy to build and deploy your container with Quix. Just a few clicks and we take your code through build and deployment pipelines to run it in a fully managed serverless Kubernetes engine with all the logs and monitoring you need.