Quix Edge

Run Quix on premise for non-negotiable compliance or where serious scale meets extra low latency.

Process data at extremely low latency and serious scale

Run Quix Edge with your applications on your existing infrastructure for extra low latency, and avoid excessive cloud costs for seriously large data volumes.

Circumvent network and security concerns due to remote locations or firewalls.

Enable your engineers and data scientists to work with the tools they know

Quix allows you to process real-time data 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.

Full ownership and control

When Quix runs entirely in your on premise environment, you have full ownership and control over your data and infrastructure. Our team is still there to support you.

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

24/7 Support

Our guidance and expertise ensures your on premise platform runs efficiently 24/7.

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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