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 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."
"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 connectors provided by the solution are valuable."
"The processing power of Apache Kafka is good when you have requirements for high throughput and a large number of consumers."
"The high availability is valuable. It is robust, and we can rely on it for a huge amount of data."
"valuable features relate to microservices architecture and working on KStream and KSQL DB as a microservices event bus."
"Its availability is brilliant."
"The most important feature for me is the guaranteed delivery of messages from producers to consumers."
"Good horizontal scaling and design."
"Kafka, as compared with other messaging system options, is great for large scale message processing applications. It offers high throughput with built-in fault-tolerance and replication."
"The product should improve its monitoring capabilities. It needs to improve the pricing also."
"Depending on your use cases, Amazon MQ can be cheap or expensive."
"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."
"The graphical user environment is currently lacking."
"Kafka's interface could also use some work. Some of our products are in C, and we don't have any libraries to use with C. From an interface perspective, we had a library from the readies. And we are streaming some of the products we built to readies. That is one of the requirements. It would be good to have those libraries available in a future release for our C++ clients or public libraries, so we can include them in our product and build on that."
"They need to have a proper portal to do everything because, at this moment, Kafka is lagging in this regard."
"Apache Kafka can improve by adding a feature out of the box which allows it to deliver only one message."
"Kafka does not provide control over the message queue, so we do not know whether we are experiencing lost or duplicate messages."
"I would like to see monitoring service tools."
"The user interface is one weakness. Sometimes, our data isn't as accessible as we'd like. It takes a lot of work to retrieve the data and the index."
"I would like to see an improvement in authentication management."
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 77 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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