Use Case

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

Learn what you can do with Quix Streams, the Quix SDK, and why we dedicated more than two years building it.

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.

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?

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.

Companies that shift from batch data to stream processing are making big gains in speed, responsiveness and product development.

How Levi Strauss, John Deere and Porsche are harnessing the power of streaming data and empowering their employees to make the most of it.

Data stream processing paired with machine learning delivers big public benefits — with applications in healthcare, food security, public safety and transportation.

Here at Quix, we use … Quix! How we built a customer-centric user journey pipeline to automate real time analytics.

Data stream processing delivers faster results and a better user experience — powered by ML and automation.

How in-memory data processing is improving personalized customer experiences across industries

We tested Apache Spark vs Apache Flink vs Quix Streams on performance and flexibility. The results surprised us.

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.

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.

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.