The Quix blog

Create a CDC pipeline and publish data to Kafka topics in just a few minutes with our open source SQL Server connector.

As the internet of things evolves, so does its application in industrial settings. Find out how to take Industrial IoT from a helpful tool to transformative technology with streaming data integrations.

If your last IoT project wasn’t wholly successful or you’d like to progress along the learning curve faster, we’ve got you covered.

We’ve got your introduction to the modern data stack and why you might want to invest in one.

It turns out that “real time” is a bit of a misnomer — there’s always some lag between an event and its processing — even if it’s only a few milliseconds. But we can help decrease even that item.

The internet of things has expanded from small personal devices to warehouses and factories. This post will look at how IIoT impacts various industries and how to start or accelerate your transformation.

Most data in streaming applications such as IoT, finance, user behavior analysis and automotive is time-series data. Learn how to capture, process and apply it to get the most value from it.

Bring any type of data into the Quix platform. Here’s how to use the APIs when the SDK doesn’t fit.

When, why, and how to contribute code samples to the Quix library.

When, why, and how to contribute code samples to the Quix library.

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.

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.

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.