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Part 1: Apache Kafka vs. RabbitMQ If you're looking for a message broker for your next project, read on to get an overview of to of the most popular open source solutions out there. by Kafka is an event streaming platform, and not the next IBM MQ. If you try to recreate your favorite MQ solution and architecture with Kafka, you will likely fail. IMPORTANT: When generating the properties for your IBM Event Streams starter application, please choose to connect to an existing topic and select the topic you created previously as part of this exercise so that the messages we send into IBM Event Streams end up in the appropriate topic that is being monitored by your IBM MQ Sink connector runnning on the Kafka Connect framework.

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They can be JSON objects, Strings etc; Topics are logs of messages; Kafka is run as a Cluster of servers each of which is called a Broker Kafka is way faster than ActiveMQ.

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They can be JSON objects, Strings etc; Topics are logs of messages; Kafka is run as a Cluster of servers each of which is called a Broker Kafka into IBM MQ, i.e. Apache Kafka is the source, and IBM MQ is the target. The documentation provided with these connectors makes it relatively straightforward to configure even for a first-time Kafka user (and z/OS dinosaur!). Kafka is way faster than ActiveMQ.

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When it’s written to Kafka it’s serialised using the selected converter which since it’s Avro stores the schema in the Schema IBM MQ is best suited if you are having a large project dealing with sensitive data and message security and integrity are of the top priority in addition to having huge volumes of the data. You should always try to create less number of queue managers and rather create more queues on the queue managers and make the nomenclature in such a way that each team has its different set of queues.

Pros of IBM MQ. 3. Reliable for banking transactions. 2. Useful for big enteprises. 2. Secure.
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IBM API - IBM MQ (in the azure cloud) - Microsoft Azure Logic apps - Microsoft Azure service tekniker med erfarenhet av Big data med förståelse hela kedjan för build vs. Goda kunskaper av strömmande databehandling med Kafka, Spark  Experience in Data stores, such as My, MongoDB, Kafka, Redis.
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Apache Kafka vs. Middleware (MQ, ETL, ESB) – Slides + Video 3 minute read 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).