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December 15, 2021
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Industry insights

The Stream — December 2021 edition

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

The Stream December 2021 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.

We’re wrapping up an exciting year for Quix — just seven months since our product launched, we’ve seen incredible enthusiasm from customers, new users (yes, our product is still free to try, with no credit card required), and thousands of developers who want to learn more about data stream processing.

Even though stream processing is relatively new, my co-founders and I have a combined two decades of experience with it. First, we made it work for McLaren’s Formula One team. Now we’re making it work for countless industries, from manufacturing to gaming, from automotive to mobility, telco, ecommerce, finance, and the list goes on.

I encourage you to look at these industry use cases to learn more about how Quix can accelerate your business. Watch our blog, too — we’re highlighting stream processing use cases ranging from personalization in house hunting and healthcare to using stream processing for social good.

We’re out in the community sharing how data scientists and data engineers can use stream processing to build better data pipelines and get ML projects to production faster.

At the Data Science Festival in London a few weeks ago, my colleagues carried off a mix of audience input, live data, and coding on the fly to deliver real-time stream processing. With all of these variables, what can go wrong? That’s why we call it “the most dangerous demo.”

We released a white paper full of analyst insights and third-party research about how stream processing will transform the modern data stack for business leaders.

Finally, I promised you last month that we’d have a big product announcement. It’s here — read on for our introduction to Quix’s new online IDE, complete with built-in connectors to live data streams.

As always, the Quix team is eager to help you get your project off to a great start. You can book a chat with our friendly experts to talk through your project goals and technical challenges. Or come chat with us on Slack.

My colleagues and I all wish you a safe and happy holiday season!

Diagram showing the process of Quix production.

Introducing: Quix’s online IDE and live data connectors

How to accelerate building real-time data-driven products? Skip traditional CI/CD development. Our IDE lets you build and test code against real, live data streams.

Inside our major release

Screenshot of Quix website showing overview, use cases, pricing, and sign up for free trial.

Automate your product analytics

Here’s how Quix used data stream processing for our own product analytics, complete with automations and alerting.

Insights in an instant →

Diagram showing the stages of a data pipeline.

How does serverless compute work for stream processing?

Learn more about serverless infrastructure for live data. We break it down with a super-speedy explanation and video.

Insider’s guide →

Screenshot of The Stream Processing Revolution.

Can stream processing save us from drowning in data lakes?

Get the in-depth whitepaper with research from analysts and industry experts on how stream processing will revolutionize data management, analytics and ops.

Deep dive →

More insights

  • Big data, big impact: Use cases for stream processing that serve the public good and make lives better.
  • Is it on? Quix’s new service status page keeps you up to date. Find it in the website footer.
  • What’s new? Check out our changelog, with new features, improvements, helpful tips and resources, and bug fixes.

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