The Quix blog

Behind the scenes building McLaren’s F1 stream processing system, and why the world needed a new stream processing client library.

Computing in the cloud, in the fog or at the farthest edge can make a significant difference in technical applications that are processing large volumes of data at high speeds

Three Quix connectors let you move data from Twitter to a Snowflake database while transforming it along the way. Learn how to set up the pipeline without writing any code.

Members of the streaming community share their favorite tools — from backend development to organizing workflows to developing website copy. We have suggestions that you’ll actually enjoy using.

The May 2022 edition of The Stream: covering this month in stream processing on the internet.

Streaming real-time data didn’t magically appear from nowhere. Its long history isn’t just fascinating — it’s full of familiar examples that your family can understand.

Companies building the modern data stack gathered this week to discuss the challenges, shortcuts and benefits of stream processing. Here’s what you need to know.

Data’s value depends on how you use it. We’ll look at three ways to increase the value you get from the data you’re already collecting.

The April 2022 edition of The Stream: covering this month in stream processing on the internet.

“Dark data” is the data being collected and stored without a plan for future use. It’s often dumped into data lakes with little to no thought for how it could actually be used in the future — that’s someone else’s problem.

Twelve questions with Quix’s lead product designer and visual designer on integrating brand and product design.

The data maturity model starts with data silos and ends with automation and machine learning. Here’s how to move through the journey and overcome the challenges of each.

Our CEO summarizes Gartner’s “Market Guide for Event Stream Processing” and offers guidance to business leaders navigating the market of data tools.

The March 2022 edition of The Stream: covering this month in stream processing on the internet.

Connector? Confluent? Cluster? Keep this article nearby to define tricky and emerging terms in stream processing.

Looking to level up your data career? Whether you’re a developer, data engineer, data scientist or someone else who happens to work with data, these upcoming events offer you the opportunity to learn new skills and meet new people.

Last decade, companies wrestled with big data. The new challenge is how to handle data fast. Here’s how market leaders generate more value by processing and acting on data immediately.

Transform big data fast. Now more people can harness the power of data stream processing and develop their own projects.

The February 2022 edition of The Stream: covering this month in stream processing on the internet.

How to make data processing more resilient for mission-critical applications: it starts with better (and easier to manage) data pipelines.

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 and 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.

How we engineered usage-based pricing on a message broker, with an in-depth guide to technical implementation and code samples.

The January 2022 edition of The Stream: covering this month in stream processing on the internet.