Operationalize analytics, ML and AI

Build real-time applications on your telemetry data, for use cases like anomaly detection, recommendations and personalization. Fast, secure and for a fraction of the typical cost.

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Your platform for building data-driven applications

Quix integrates seamlessly into your existing tech stack, so your data teams can start building straight away.

Choose the deployment option that fits your business

Run the Quix platform in the cloud or on the Edge, depending on your use case. Or build your own with Quix Streams, Apache Kafka and Kubernetes.

Quix Cloud

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

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Quix Edge

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

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Quix Streams

An open-source Python framework for real-time data engineering, analytics, ML and AI with Streaming DataFrames.

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Explore the platform

Quix Streams repo

Get started with templates for common use cases

Check out our ready-to-run templates to kick-start building your first Quix application.

Project template

Use case

Code snippet

Enrich data with a Redis lookup

A simple three-step pipeline that you can use as a basis for any project that requires data enrichment.

Redis

Quick Start

Quix

Project template

Use case

Code snippet

Continuously updating a vector store

A three-step pipeline that you can use to ingest embeddings into a vector database the moment new content is published.

Qdrant

SBert

LLMs

Quix

Project template

Use case

Code snippet

Real-time feature computation

A real-time feature pipeline that computes essential features that you can pass to an ML-powered trading system.

Hopsworks

Redpanda

Streamlit

Feature Engineering

Paulescu

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Quix customers do more with their data

Learn how customers are leveraging Quix to deliver more business value from analytics, ML and AI.

Customer story

Optimizing manufacturing efficiency with streaming data and ML

How CloudNC makes better predictions for maintenance, generates insights with very low latency, and transforms its factory operations with streaming data.

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Interested in Quix Cloud?

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

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Get started with Quix Streams

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

Quix Streams repo

Getting started with Quix

Book a demo

Talk with our team of experts to learn more about how companies are building real-time ML and AI applications for use cases like anomaly detection, recommendations, personalization and more.

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Ask our community

Join our Slack community to get help with Quix Streams and join the discussion on building real time applications with Quix!

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