Use cases

Harness the power of live data in any industry

Finance

Use live data to auto-detect fraud. Unify customer data to increase total lifetime value with more personalized financial products.

Show me the money ->

Ecommerce

Digital experiences are all about personalization. Unify and act on both live and historical customer data to drive up ACV and reduce churn.

Get closer to the customer ->

Gaming

Faster game starts. Fewer cheats and chat problems. Learn how gaming companies use stream processing for a better player experience.

Let the games begin ->

Mobility

Track, troubleshoot and optimize your fleet, with better predictions and fewer delays. Real-time automation and visualization makes this a snap.

Build a smarter fleet ->

Media

Deliver the ultimate news feed or fan experience in the moment it happens. Stream processing helps you assemble wow-worthy personalized highlights.

Highlights from every angle ->

Telco

Get greater speed and flawless delivery, backed by ready-for-anything resources. Now you can monitor, adapt and optimize your network.

Monitor to the millisecond ->

Data science

Why do most machine learning models never make it to production? They’re blocked by developer resources. Get the power to build, test and iterate on a Python-friendly platform.

Deliver data-driven products ->

Data engineering

Don’t dump data in lakes. Build better pipelines to extract value the moment data is created. Accelerate data-driven resources with the power of stream processing.

From data lakes to data streams ->

Trusted by developers and leading innovators

Quix was founded by Formula 1 engineers to bring the power of data stream processing to every industry. With a deep understanding of the complexities of working live data, the team engineered a tightly integrated, production-ready platform.

It’s everything you need to build data-driven products — and it performs faster and more efficiently than traditional development pipelines.

Stream processing is a complete paradigm shift from the days of merely “dumping” data into a warehouse or data lake. Instead, you can extract value from your data the moment it is created, and act immediately on it.

That’s pretty powerful. That’s Quix.

Trusted by developers at

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Why the data pipeline is changing everything

Find out why analysts and market-watchers agree that traditional data processing must be replaced by stream processing. It’s happening now as innovators embrace new opportunities for greater personalization, automation and revenue.