The Quix blog

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.

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.

“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.

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.

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.

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

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

Move over, subscription pricing. Usage-based pricing maximizes the value of a service for product-led growth, building trust and transparency in the process.

Five industry experts forecast how our approach to data will be transformed. Batch vs. stream processing? On-prem vs. cloud? Data lake or data mesh?

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

The December 2021 edition of The Stream: covering this month in stream processing on the internet.

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 scientists and engineers are frustrated by the challenges of scaling data infrastructure. They know what’s needed, but they lack the time, resources and expertise to implement and maintain it.‍

The platform accelerates time to market for live data-driven products. New connectors to live data streams ensure flawless performance in real world production environments.

Learn more about the infrastructure that accelerates building data driven-products. We break it down with a super-speedy explanation and video.

Stream processing has forever changed the modern data stack. Find out how it’s revolutionizing data management, streamlining business operations and enabling companies to deliver data-driven products and services.

The November 2021 edition of The Stream: covering this month in stream processing on the internet.