Use Case

All Posts
Banner of a case study for optimizing efficiency.
Use Case

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.
Mike Rosam
Words by
Mike Rosam
Peter Nagy and Steve Rosam stream event banner.
Use Case

What you can do with the Quix SDK and why we developed it from scratch

Learn what you can do with Quix Streams, the Quix SDK, and why we dedicated more than two years building it.
Kiersten Thamm
Words by
Kiersten Thamm
Black background with blue waves.
Use Case

How Ademen will use streaming data to revolutionize patient monitoring

Ademen aims to empower community clinical teams to screen for and monitor health problems using the smart stethoscope it built on streaming data with Quix.
Kiersten Thamm
Words by
Kiersten Thamm
Person driving and wearing a smartwatch.
Use Case

How to launch personalized wearable devices 300% faster

Consumer IoT devices need real data to build hyper-personalized user experiences. So how did one company launch a fully functional product without months of R&D?
Mike Rosam
Words by
Mike Rosam
Racing white car.
Use Case

Ensuring data speed and resiliency in a mobile IoT application

Find out how 82 ML models — all deployed in just two weeks — significantly improved network connectivity and reduced operating costs for a leader in mobility.
Mike Rosam
Words by
Mike Rosam
Wavelength image and blue sphere in the middle.
Use Case

Three ways customer-centric companies are using real-time data

Companies that shift from batch data to stream processing are making big gains in speed, responsiveness and product development.
Mike Rosam
Words by
Mike Rosam
Three images of pocket, car wheel, and field of wheat.
Use Case

Why you should empower more employees to use real-time data

How Levi Strauss, John Deere and Porsche are harnessing the power of streaming data and empowering their employees to make the most of it.
Mike Rosam
Words by
Mike Rosam
Green and red traffic lights.
Use Case

Data for good: using streaming data to make lives better

Data stream processing paired with machine learning delivers big public benefits — with applications in healthcare, food security, public safety and transportation.
Mike Rosam
Words by
Mike Rosam
Quix at the center of colorful banner.
Use Case

Automating analytics with a stream processing platform

Here at Quix, we use … Quix! How we built a customer-centric user journey pipeline to automate real time analytics.
Peter Nagy
Words by
Peter Nagy
Colorful shiny lights.
Use Case

Reducing latency is better for you, better for your customers and cheaper to operate

Data stream processing delivers faster results and a better user experience — powered by ML and automation.
Mike Rosam
Words by
Mike Rosam
Nine icons on blue background.
Use Case

Using streaming data to personalize everything from house hunting to healthcare

How in-memory data processing is improving personalized customer experiences across industries
Mike Rosam
Words by
Mike Rosam
Flink vs Spark on grey background.
Use Case

Flink vs Spark: Benchmarking stream processing client libraries

We tested Apache Spark vs Apache Flink vs Quix Streams on performance and flexibility. The results surprised us.
Tomáš Neubauer
Words by
Tomáš Neubauer
Laptop showing Quix racing road.
Use Case

The race to build with streaming data: Can your dev team keep pace?

Take Quix for a test drive: we built a no-coding-required driving game using Quix’s stream processing to help you experience the simplest way to handle streaming data.
Tomáš Neubauer
Words by
Tomáš Neubauer
Case study banner in colorful background.
Use Case

How to build a powerful project free with Quix

Build fast, powerful and free with Quix. We built a Twitter sentiment analysis tool that can process 4 million tweets for month free. Plus, detailed and transparent pricing for when you’re ready to go bigger.
Mike Rosam
Words by
Mike Rosam
Hand holding zooming glass.
Use Case

Detect financial fraud in real time to limit losses: A personal case study

Financial fraud is now the most prevalent crime in the UK, costing the industry £190 billion per year. Globally, this figure was an eye-watering $1.45 trillion in 2019. In this case study I show you how I lost thousands and how banks could have avoided most of this through real-time fraud detection.
Mike Rosam
Words by
Mike Rosam
The stream

Updates to your inbox

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis vel cursus ligula, et ultrices orci. Sed non efficitur dui.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.