Quix streams blog feature image
Community | 2 Mar, 2023
Introducing Quix Streams, an open source library for telemetry data streaming
Lightweight, powerful, no JVM and no need for separate clusters of orchestrators. Here’s a look at our next-gen streaming library for C# and Python developers including feature summaries, code samples, and a sneak peek into our roadmap.
Tomas Neubauer
words by
Tomáš Neubauer, CTO & Co-Founder
ML predictions with Python and Apache Kafka
Tutorial | 8 Feb, 2023
Build a simple event-driven system to get ML predictions with Python and Apache Kafka
Use the Quix Streams Python library to continuously stream email records from a CSV file, get an ML inference for each record, then stream the results back to a new Kafka topic.
Tomas Neubauer
words by
Tomáš Neubauer, CTO & Co-Founder
0144 feature
Strategy | 28 Mar, 2022
Behind the design
Twelve questions with Quix’s lead product designer and visual designer on integrating brand and product design.
Kiersten Thamm
words by
Kiersten Thamm, Head of Technical Content
Blog 161 feature
Strategy | 22 Mar, 2022
How to progress on the data maturity journey, from data silos to machine learning
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.
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words by
Mike Rosam, CEO & Co-Founder
Blog 168 feature
Strategy | 15 Mar, 2022
How to choose the right stream processing tools for every team
Our CEO summarizes Gartner’s “Market Guide for Event Stream Processing” and offers guidance to business leaders navigating the market of data tools.
1611064394032
words by
Mike Rosam, CEO & Co-Founder
The Stream March 2022
Community | 10 Mar, 2022
The Stream — March 2022 edition
The March 2022 edition of The Stream: covering this month in stream processing on the internet.
1611064394032
words by
Mike Rosam, CEO & Co-Founder
Blog 164 feature
Explainer | 8 Mar, 2022
The stream processing glossary
Connector? Confluent? Cluster? Keep this article nearby to define tricky and emerging terms in stream processing.
Kiersten Thamm
words by
Kiersten Thamm, Head of Technical Content
Blog 159 feature
Community | 1 Mar, 2022
Nine upcoming events to help you increase your data skills with stream processing
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.
Theo England
words by
Theo England, Community Manager
Blog 154 feature
Strategy | 22 Feb, 2022
The evolution of data processing: why time to value is paramount
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.
1611064394032
words by
Mike Rosam, CEO & Co-Founder
153 feature image
Quix | 16 Feb, 2022
Quix’s new no-code workflow and open source library delivers the benefits of stream processing to teams of all sizes
Transform big data fast. Now more people can harness the power of data stream processing and develop their own projects.
Tomas Neubauer
words by
Tomáš Neubauer, CTO & Co-Founder
The Stream February 2022
Community | 15 Feb, 2022
The Stream — February 2022 edition
The February 2022 edition of The Stream: covering this month in stream processing on the internet.
1611064394032
words by
Mike Rosam, CEO & Co-Founder

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