Browsing Tag

MQ

13 posts
Introduction Queues for Kafka - Apache Kafka QfK - One Platform for Event Streaming and Message Queues Consolidation
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  • 787 views
  • 10 minute read

When (Not) to Use Queues for Kafka?

Apache Kafka has long been the foundation for real-time data streaming. With the release of Queues for Kafka (QfK) in Apache Kafka 4.2, it now also supports native queuing, eliminating the need for separate message queue systems for backend integration and task processing. This blog explores how Kafka bridges the gap between stream processing and message queuing, when (not) to use QfK, and how it enables a unified cloud-native integration platform for modern enterprise architectures.
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The State of Data Streaming for Healthcare in 2023 with Apache Kafka and Flink
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  • 6 minute read

The State of Data Streaming for Healthcare with Apache Kafka and Flink

This blog post explores the state of data streaming for the healthcare industry powered by Apache Kafka and Apache Flink. IT modernization and innovation with pioneering technologies like sensors, telemedicine, or AI/machine learning are explored. I look at enterprise architectures and customer stories from Humana, Recursion, BHG (former Bankers Healthcare Group), and more. A complete slide deck and on-demand video recording are included.
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JMS Message Broker vs Apache Kafka Data Streaming
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  • 16.8K views
  • 6 minute read

Message Broker and Apache Kafka: Trade-Offs, Integration, Migration

A Message broker has very different characteristics and use cases than a data streaming platform like Apache Kafka. Data integration, processing, governance, and security must be reliable and scalable across the business process. This blog post explores the capabilities of message brokers, the relation to the JMS standard, trade-offs compared to data streaming with Apache Kafka, and typical integration and migration scenarios.
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JMS Message Queue vs Apache Kafka Comparison
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  • 19 minute read

Comparison: JMS Message Queue vs. Apache Kafka

Comparing JMS-based message queue (MQ) infrastructures and Apache Kafka-based data streaming is a widespread topic. Unfortunately, the battle is an apple-to-orange comparison that often includes misinformation and FUD from vendors. This blog post explores the differences, trade-offs, and architectures of JMS message brokers and Kafka deployments. Learn how to choose between JMS brokers like IBM MQ or RabbitMQ and open-source Kafka or serverless cloud services like Confluent Cloud.
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  • 13 minute read

Is Apache Kafka an iPaaS or is Event Streaming its own Software Category?

This post explores why Apache Kafka is the new black for integration projects, how Kafka fits into the discussion around cloud-native iPaaS solutions, and why event streaming is a new software category. A concrete real-world example shows the difference between event streaming and traditional integration platforms respectively iPaaS.
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  • 3 minute read

Apache Kafka vs. Middleware (MQ, ETL, ESB) – Slides + Video

This post shares a slide deck and video recording of the differences between an event-driven streaming platform like Apache Kafka and middleware like Message Queues (MQ), Extract-Transform-Load (ETL) and Enterprise Service Bus (ESB).
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Apache Camel and Scala: A Powerful Combination

I really like the integration framework Apache Camel and I also like Scala a lot. This article shows the basics of this combination. It is NO introduction to Apache Camel or Scala. I created a Git project to use it as simple startup for Camel-Scala-Maven projects using just the basic Camel concepts and only a few complex Scala features (i.e. very „Java-friendly“).
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Java / JVM – When to use Multicast (e.g. Tibco Rendevous) instead of Point-to-Point Messaging (JMS Implementations)

Several solutions are available in the Java / JVM environment for messaging. All have in common that they exist for many years and still do its job in mission critical systems: Sending remote messages fast and reliable. There exist two different concepts which compete against each other for enterprise messaging solutions. This article describes and compares Point-to-Point (e.g. ActiveMQ) and Multicast (e.g. Tibco Rendevous) messaging to answer the question when to use which one. Although both solutions are available for many years now, this question is still very important – also for new software!
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