Hi, we’re Quix
We believe it will soon be essential for every business to immediately act on data — within milliseconds of its creation.
That’s the power of stream processing. That’s what we’re about.
Our Story
Quix was founded by four Formula 1 engineers, who harnessed the power of data stream processing to make real time decisions.
From their experience at McLaren, they knew the value of streaming data. So they created Quix as a platform to empower developers and data scientists from all industries.
Quix is set of tools that aims to make Python stream processing more accessible to developers building ML and generative AI applications:
- Quix Streams is an open source Python library for building containerized stream processing applications with Apache Kafka or Kafka-like message brokers.
- Quix Cloud provides fully managed serverless containers, a managed Kafka instance, data and observability tools to run your applications in production.
From the blog
How to fix common issues when using Spark Structured Streaming with PySpark and Kafka
Quix Streams—a reliable Faust alternative for Python stream processing
How to enrich a stream of data in real time with Quix and Redis
Our values
Smart as f*ck
No explanation needed.
The MacGyver effect
Be resourceful, look it up.
Go the extra mile
We work smart AND hard.
"Pull!"
Bring the energy to make the boat go faster.
Sounds like you?
Join us to bring more ideas to life faster.
Our team
Mike Rosam
Absolutely anything to do with Quix (or to chat about surfing, snowboarding, rugby, cats and food)
Tomáš Neubauer
Anything technical about Quix (or to chat about cycling, motorsport and good food)
Peter Nagy
Any technical or infrastructure aspect of the platform (or to chat about board games, logic puzzles and sci-fi)
Patrick Mira Pedrol
Software architecture, design patterns and methodologies used in Quix (or to chat about motorsport, video games and strategy board games)
Agnese Sardella
Anything related to the business, people and events (or to chat about travels, events and personal development)
Steve Rosam
Pretty much anything Quix – if I don’t know the answer I’ll find out who does (or to chat about sourdough bread, pizzas and windsurfing)
Matt Lyver
All visual aspects of the Quix brand identity and platform UI (or to chat about cooking, cricket, and pub garden drinking)
Javier Blanco
Any cool Data Science project you want to try with Quix (or to chat about football, chess and architecture)
Quique Ruiz
All Infrastructure aspects of the Quix platform (or to chat about football, classical music and boardgames)
Chris Gilchrist
Anything related to the frontend of the Quix platform (or to chat about gaming, fitness and weight lifting)
Luis Fuster
Backend engineering related questions (or to chat about music, guitar, karate or boardgames).
Lajos Nagy
Questions about infrastructure and platform (or to chat about archery, PC gaming or the Klingon language).
Emanuel Ramos
Anything related to Backend/Dotnet and Software Architecture (or to chat about football, beer and cats).
Tun Shwe
All things data! Data engineering, data analytics, data science, data strategy (or to chat about surfing, guitars and analogue photography)
Daniil Gusev
Everything about Quix Streams library and Python (or to chat about travel, snowboarding and music)
Tim Sawicki
Any Python-related Kafka shenanigans (or to chat about board games [he has...a lot!] and pet birds)
Merlin Carter
Article Feedback
Quentin Dawans
Questions about python and asynchronous programming (or to chat about beer, board games or music).
How can we help?
We’re a friendly bunch! You can start up a conversation with us in our Slack community, reach out to us on LinkedIn, ask us a question on Twitter or just fill out the contact form to get in touch.
Need technical support? Ask our team on the #quix-help channel in Slack, search for a solution on our Docs or drop us an email to support@quix.io.