When NOT to Use Apache Kafka? (Lightboard Video)

Kai Waehner
4 min readJun 21, 2024

Apache Kafka is the de facto standard for data streaming to process data in motion. With its significant adoption growth across all industries, I get a very valid question every week: When NOT to use Apache Kafka? What limitations does the event streaming platform have? When does Kafka simply not provide the needed capabilities? How to qualify Kafka out as it is not the right tool for the job? This blog post contains a lightboard video that gives you a twenty-minute explanation of the DOs and DONTs.

Disclaimer: This blog post shares a lightboard video to watch an explanation about when NOT to use Apache Kafka. For a much more detailed and technical blog post with various use cases and case studies, check out this blog post from 2022 (which is still valid today — whenever you read it).

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When NOT to use Data Streaming with Apache Kafka? (Lightboard Video)

What is Apache Kafka, and what is it NOT?

Kafka is often misunderstood. For instance, I still hear way too often that Kafka is a message queue. Part of the reason is that some vendors only pitch it for a specific problem (such as data ingestion into a data lake or…

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Kai Waehner

Technology Evangelist — www.kai-waehner.de → Big Data Analytics, Data Streaming, Apache Kafka, Middleware, Microservices => linkedin.com/in/kaiwaehner