Quix Streams is an open source Python library for building containerized stream processing applications with Apache Kafka.
Quix Cloud provides fully managed containers, Kafka and observability tools to run your applications in production.
.svg)
Quix combines containerised microservices with Docker, Kafka and Git. Run it anywhere: our cloud, your cloud or on-premise.
No messing around with containers or message brokers. Just a few clicks and you're ready to go.
Do nothing but write code. Zero provisioning, setup, or maintenance. Just focus on writing your code with your preferred IDE.
Integrate events coming from your services. Spin up multiple environments, attach them to your Git, develop your application and deploy it. All seamlessly integrated with your existing CI/CD workflow.
Stream processing, simplified. From data cleaning and basic functions to serving ML models.
Code in pure Python with Quix Streams, our open-source library. Quix Streams utilises Streaming DataFrames to transfer your existing batch-processing techniques to streaming applications. Or bring your favourite streaming library in any language you prefer.
Deploy your event streaming application in a few clicks
That's all it takes to deploy a Kafka-powered event streaming app on Quix using Git, Docker and serverless computing.
Track-tested tool built by F1 engineers to handle high velocity and volume of data.
That's how reliable our tool is. No need to worry about downtimes, just focus on your code. Uptime is based on the last 90 days.
Explore examples of event streaming apps that you can build with Quix
Sign up now and start building your first event streaming app with free credits to use in compute and streaming.
Book a free 30 minute consultation with our experienced event-streaming engineers to get all your questions answered.
.jpg)
.jpg)
