Quix Cloud

Enable your data teams to deploy applications and ML models on top of your real-time data.

Abstract away messy data infrastructure and data silos

Quix unifies all the different real-time data sources you have within your business, and makes them available in a single platform. With Quix, your data teams can discover what real-time data you have, and easily develop and deploy applications on top.

Enable your data scientists to build applications with the tools they know

Quix allows you to build real-time applications in pure Python and with a table-like API (streaming DataFrames).This makes it easy for your teams to turn existing (batch) analytics and models into real-time applications using all the packages, libraries, tools and databases they already know.

Reduce your TCO and drive more value for the business

Quix was built by Formula 1 engineers to be performant and cost effective. Leverage your real-time data for a fraction of the typical cost of using cloud vendor services. Work with our experts on architecture and data model design for maximum efficiency.

Build real-time data applications in minutes

Ingestion
Ingest data from all your real time sources in pure Python. Use out of the box connectors or customise connector templates for more flexibility.
Transformation
Prepare your data with Quix Streams, our open source Python library for processing data in real time with streaming DataFrames. Use in-built operators for aggregation, windowing, filtering, group-by, branching, merging and more.

Enrich your data by connecting a cache or feature store.
Decision
Build your decision logic in pure Python, load an existing ML model or call an AI model API.

Quix allows you to add any package to your application and call models in-memory without using web API’s to increase efficiency and reduce operational complexity.
Activation
Send events back to your product in real time, or provide real-time data feeds back to your business.
Ingestion
Ingest data from all your real time sources in pure Python. Use out of the box connectors or customise connector templates for more flexibility.
Transformation
Prepare your data with Quix Streams, our open source Python library for processing data in real time with streaming DataFrames. Use in-built operators for aggregation, windowing, filtering, group-by, branching, merging and more.

Enrich your data by connecting a cache or feature store.
Decision
Build your decision logic in pure Python, load an existing ML model or call an AI model API.

Quix allows you to add any package to your application and call models in-memory without using web API’s to increase efficiency and reduce operational complexity.
Activation
Send events back to your product in real time, or provide real-time data feeds back to your business.

Maintain real-time applications securely and reliably

Secure

ISO27001 compliant

Certified to the most stringent industry standard for information security. Rest assured your data and code is in safe hands.

Performant

Low latency at scale

Built by Formula 1 engineers and in production with Formula 1 teams, Quix is built to process high volume and velocity data with low latency.

Reliable

99.99% uptime SLA

Forget downtime. Quix is designed to deliver high availability for the most demanding use cases.

Trusted by developers at

Interested in Quix Cloud?

Learn how companies are building applications for use cases like anomaly detection, recommendations, personalization and more.

Book a demo
Quix Cloud pipeline

Get started with Quix Streams

An open source library for processing data in Kafka using pure Python.

Quix Streams repo