We performed a comparison between Amazon MQ and Apache Kafka based on real PeerSpot user reviews.
Find out in this report how the two Message Queue (MQ) Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The tool's most valuable feature is its managed service aspect. It's simple to implement and use. It requires minimal effort to maintain business operations."
"The initial Amazon MQ setup is very easy both when you do it on your own or use the self-managed instance."
"Amazon MQ is a very scalable solution."
"Apache Kafka is an open-source solution that can be used for messaging or event processing."
"I like Kafka's flexibility, stability, reliability, and robustness."
"It is the performance that is really meaningful."
"The most valuable feature of Apache Kafka is its versatility. It can solve many use cases or can be a part of many use cases. Its fundamental value of it is in the real-time processing capability."
"Scalability is very good."
"Robust and delivers messages quickly."
"Apache Kafka has good integration capabilities and has plenty of adapters in its ecosystem if you want to build something. There are adapters for many platforms, such as Java, Azure, and Microsoft's ecosystem. Other solutions, such as Pulsar have fewer adapters available."
"One of the most valuable features I have found is Kafka Connect."
"Amazon MQ is a good solution for small and medium-sized enterprises. It's open-source software, which means it's cheaper than its competitors."
"Depending on your use cases, Amazon MQ can be cheap or expensive."
"The product should improve its monitoring capabilities. It needs to improve the pricing also."
"Kafka requires non-trivial expertise with DevOps to deploy in production at scale. The organization needs to understand ZooKeeper and Kafka and should consider using additional tools, such as MirrorMaker, so that the organization can survive an availability zone or a region going down."
"The solution can improve its cloud support."
"There are some latency problems with Kafka."
"There is a lot of information available for the solution and it can be overwhelming to sort through."
"The management tool could be improved."
"Pulsar gives more scalability to an even grouping, but Apache Kafka is used more if you want to send something in a time series-based. If this does not matter to you then Pulsar could be more customizable. Apache Kafka is nothing but a streaming system with local storage."
"An area for improvement would be growth."
"One complexity that I faced with the tool stems from the fact that since it is not kind of a stand-alone application, it won't integrate with native cloud, like AWS or Azure."
Amazon MQ is ranked 9th in Message Queue (MQ) Software with 3 reviews while Apache Kafka is ranked 1st in Message Queue (MQ) Software with 78 reviews. Amazon MQ is rated 8.4, while Apache Kafka is rated 8.0. The top reviewer of Amazon MQ writes "Provides you with a URL where you can either send or retrieve messages". On the other hand, the top reviewer of Apache Kafka writes "Real-time processing and reliable for data integrity". Amazon MQ is most compared with Amazon SQS, VMware Tanzu Data Services, IBM MQ, Red Hat AMQ and EMQX, whereas Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, Anypoint MQ and IBM Event Streams. See our Amazon MQ vs. Apache Kafka report.
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