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."
"The most valuable features of the solution revolve around areas like the latency part, where the tool offers very little latency and the sequencing part."
"The main advantage is increased reliability, particularly with regard to data and the speed with which messages are published to the other side."
"The stability is very nice. We currently manage 50 million events daily."
"It is a useful way to maintain messages and to manage offset from our consumers."
"Resiliency is great and also the fact that it handles different data formats."
"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."
"All the features of Apache Kafka are valuable, I cannot single out one feature."
"The most valuable feature of Apache Kafka is the clustering which is very easy to scale and we have multiple servers all over our platforms. It has been useful for stability and performance."
"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."
"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."
"An area for improvement would be growth."
"Stability of the API and the technical support could be improved."
"While the solution scales well and easily, you need to understand your future needs and prep for the peaks."
"Data pulling and restart ability need improving."
"Kafka 2.0 has been released for over a month, and I wanted to try out the new features. However, the configuration is a little bit complicated: Kafka Broker, Kafka Manager, ZooKeeper Servers, etc."
"I suggest using cloud services because the solution is expensive if you are using it on-premises."
"I would like them to reduce the learning curve around the creation of brokers and topics. They also need to improve on the concept of the partitions."
"The repository isn't working very well. It's not user friendly."
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 Oracle Data Integrator (ODI). See our Amazon MQ vs. Apache Kafka report.
See our list of best Message Queue (MQ) Software vendors.
We monitor all Message Queue (MQ) Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.