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March 31, 2023
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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.

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