Online Meetup: The difference between Apache Kafka and RabbitMQ explained!

This free online event explores the differences between two popular message brokers from a use-case perspective.

CloudAMQP manages the largest fleet of RabbitMQ clusters in the world. Needless to say, we have a lot of experience with this highly-available message broker. On a pretty regular basis, our users ask us to explain the differences between the two most popular brokers, Apache Kafka and RabbitMQ. The CloudAMQP team thought it was a great time to hold an online event!

When is the event and how do I sign up?

Tuesday, November 24, 2020

6:00 p.m. - 8:00 p.m. CEST

Click here for the page to sign up!

This event is FREE!


An expert panel from CloudAMQP will demonstrate use cases and invite audience discussion after. The agenda will flow like this:

  • Introducing to message queue concept
  • Apache Kafka and RabbitMQ differences, features, and similarities
  • Comparison between the two brokers
  • Common use cases for RabbitMQ
  • Common use cases for Apache Kafka

The expert speakers

These experts from CloudAMQP and CloudKarafka have years of experience in working with message broker platforms through managed clusters. Through CloudAMQP, the company has more than 50 thousand running instances of RabbitMQ, making them the largest provider of RabbitMQ as a service in the world.

Why explore these two brokers?

Apache Kafka and RabbitMQ are the two of the most popular messaging platforms, so naturally, they get compared to each other. The assumption is that they are almost the same and solve the same issues, but that is not always the case. In fact, a use-case perspective would explain the differences between these two quite nicely, so that is the format for this online event.

Who should attend?

Anyone that wants to learn more about message brokers, in general, should sign up for this free online event. Beginners and expert message queue developers alike will find new, interesting information to challenge what they know about Apache Kafka and RabbitMQ. We hope to see you online!

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