March 31, 2023
Industry insights

The Stream — March 2023 edition

A monthly round-up of the most interesting news coming out of the stream processing ecosystem

The Stream March 2023 banner.
Quix offers a pure Python framework for building real-time data pipelines. It's a Kafka client with a stream processing library rolled into one. No JVM, no cross-language debugging—just a simple Pandas-like API for handling streaming data. Deploy in your stack or on Quix Cloud for scalable, stateful, and fault tolerant stream processing.

Exploring real-time and batch analytics for e-bike telemetry with Quix and AWS

Quix and AWS built a streaming data to process bike telemetry.

We've collaborated with AWS to help Brompton Bikes build a real-time architecture to enhance the rider's experience. In this blog post, I dig into the challenges, the design choices and the technical implementation of what we did.

Read the blog post

In case you missed it...

Two black Quix windows.

Earlier this month we open-sourced Quix Streams, a library for telemetry data streaming. It has been designed for building real-time applications that process high volumes of telemetry data when developers need a quick response and guaranteed reliability at scale. This is a new OSS project and we're looking forward to having data engineers shape and evolve the roadmap.

Take me to the GitHub Repo

More news and insights

  • Understanding the power of real-time stream processing - Read more
  • Is data lineage important? Read more
  • Ten Flink gotchas we wish we had known - Read more
  • Upcoming Stream Processing Meetup in Munich. Quix's VP of Data Tun Shwe will be on stage. Join us there! - Sign up for free
  • Real-Time Analytics Summit in San Fran. Lots of great talk stretching the breadth of the real-time ecosystem. Our CTO Tomas will be on stage and new Quixer Dave Klein will be too. - View the schedule

Meme of the Month

Formula one and Zoom meme.

With our founders coming from McLaren F1, we couldn't resist including this one.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Related content

Featured image for the "Navigating stateful stream processing" post published on the Quix blog
Industry insights

Navigating stateful stream processing

Discover what sets stateful stream processing apart from stateless processing and read about its related concepts, challenges and use cases.
Tim Sawicki
Words by
windowing in stream processing
Industry insights

A guide to windowing in stream processing

Explore streaming windows (including tumbling, sliding and hopping windows) and learn about windowing benefits, use cases and technologies.
Daniil Gusev
Words by
real time feature engineering architecture diagram
Industry insights

What is real-time feature engineering?

Pre-computing features for real-time machine learning reduces the precision of the insights you can draw from data streams. In this guide, we'll look at what real-time feature engineering is and show you a simple example of how you can do it yourself.
Tun Shwe
Words by