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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.
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.
Strategy |
8 Feb, 2022
Reliable data products start with resilient data processing
How to make data processing more resilient for mission-critical applications: it starts with better (and easier to manage) data pipelines.
Use case |
1 Feb, 2022
How to launch personalized wearable devices 300% faster
Consumer IoT devices need real data to build hyper-personalized user experiences. So how did one company launch a fully functional product without months of R&D?
Use case |
25 Jan, 2022
Ensuring data speed and resiliency in a mobile IoT application
Find out how 82 ML models — all deployed in just two weeks — significantly improved network connectivity and reduced operating costs for a leader in mobility.
Explainer |
18 Jan, 2022
How to develop a usage-based pricing system
How we engineered usage-based pricing on a message broker, with an in-depth guide to technical implementation and code samples.
Community |
17 Jan, 2022
The Stream — January 2022 edition
The January 2022 edition of The Stream: covering this month in stream processing on the internet.
Quix |
14 Jan, 2022
ICYMI: The 7 most impactful stream processing insights of 2021
Dig into our most-read, most-shared content from 2021: our best data stream processing tutorials, explainers and research.
Strategy |
11 Jan, 2022
The business value of usage-based pricing
Move over, subscription pricing. Usage-based pricing maximizes the value of a service for product-led growth, building trust and transparency in the process.
Strategy |
4 Jan, 2022
The future of the modern data stack
Five industry experts forecast how our approach to data will be transformed. Batch vs. stream processing? On-prem vs. cloud? Data lake or data mesh?
Use case |
21 Dec, 2021
Three ways customer-centric companies are using real-time data
Companies that shift from batch data to stream processing are making big gains in speed, responsiveness and product development.
The Stream
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