Don't build your own streaming data stack. Use ours.
Deliver real-time experiences without building complex streaming infrastructure. Build, test and deploy on the track-tested platform developed by F1 engineers.
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What can you build with Quix?
Real-time ML
pipelines
Time-series data
pipelines
Event-driven data
pipelines
Production-ready pipelines in days, not months
Imagine if data teams could work with real-time data to build features and ML models with pure Python. Then autonomously serve processed data back to production in real time with robust, scalable data pipelines. While platform teams retain full control and flexibility of the underlying infrastructure.
All this without re-engineering Python into Java, manually deploying to testing or production environments, or wasting time and money battling complex real-time infrastructure.
Quix lets you do just that.
What makes Quix unique?
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Get a scalable, full-stack yet modular streaming platform
Quix is a modular platform to serve robust and scalable real-time data pipelines back to production, without losing control.
Choose your own infrastructure options across any cloud or on-prem vendor or self-hosted: we provide customers with a control plane and pre-built connectors to orchestrate any infrastructure environment they choose to provision.
Develop faster with Pure Python
Ingest streaming data from anywhere and transform it with pure Python.
With Quix, you have a Python development environment for stateful stream processing that abstracts away the underlying complexity of streaming data (Kafka) and containers (Kubernetes) without needing to learn new technologies or languages.
Turn ML models into production ML systems with a single click
Quix leverages the best-in-class open-source solutions to build development- and production-ready pipelines where testing environments match the real world.
Reduce the time it takes to go from training ML models to production ML systems, without the hassle of re-engineering your code.
Testimonials
It’s free to get started
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