We performed a comparison between Anypoint 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."Messaging and queueing solution that has good stability and scalability. It can be used for a variety of messaging types."
"The most valuable feature of Anypoint MQ is it comes with MuleSoft so we don't have to maintain separate components."
"The use of ACK is valuable."
"It's easy to use and comes as a bundle package with the Anypoint Platform, removing the need for any complex setup."
"Good interface, simple to use and stable."
"The solution is very scalable with solid performance and the capability of extending it using any custom Java in case you don't have anything out of the box. MDP is strong. It is good compared to other products regarding its capabilities in managing or orchestrating the issue load."
"Initial setup was very straightforward. Deployment is a cakewalk."
"The solution is scalable, and its performance is quite good."
"I like the performance and reliability of Kafka. I needed a data streaming buffer that could handle thousands of messages per second with at least one processing point for an analytics pipeline. Kafka fits this requirement very well."
"The stream processing is a very valuable aspect of the solution for us."
"I have seen a return on investment with this solution."
"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."
"The most valuable feature is the messaging function and reliability."
"Kafka is scalable. It can manage a high volume of data from many sources."
"The publisher-subscriber pattern and low latency are also essential features that greatly piqued my interest."
"Apache Kafka's most valuable features include clustering and sharding...It is a pretty stable solution."
"Information on monitoring could be improved."
"Anypoint MQ's capabilities are mainly used for messaging purposes, but it doesn't have typical use cases that extend as far as other Message Queue software."
"The product does not provide a priority level for the message."
"Anypoint MQ could improve the user interface."
"The solution is very costly. The solution should provide a package with fewer capabilities at a lower price for specific companies that don’t have a big IT budget. Not every customer requires all the capabilities of the software. It will be a good fit in the market, and they will easily sell it more."
"It's extremely expensive to change things in Anypoint MQ. There's also this issue of slow output of messages, and that needs to be improved."
"There are so many solutions like this, but this is not as mature as those products. The other MQ products have the capability of reprocessing and maintaining the persistence of the data. They can handle large volumes and large messages, but Anypoint MQ doesn't have those capabilities."
"The customer service is not good enough"
"Apache Kafka could improve data loss and compatibility with Spark."
"I would like to see monitoring service tools."
"Something that could be improved is having an interface to monitor the consuming rate."
"It's not possible to substitute IBM MQ with Apache Kafka because the JMS part is not very stable."
"Prioritization of messages in Apache Kafka could improve."
"There have been some challenges with monitoring Apache Kafka, as there are currently only a few production-grade solutions available, which are all under enterprise license and therefore not easily accessible. The speaker has not had access to any of these solutions and has instead relied on tools, such as Dynatrace, which do not provide sufficient insight into the Apache Kafka system. While there are other tools available, they do not offer the same level of real-time data as enterprise solutions."
"Apache Kafka has performance issues that cause it to lag."
"The ability to connect the producers and consumers must be improved."
Anypoint MQ is ranked 7th in Message Queue (MQ) Software with 10 reviews while Apache Kafka is ranked 1st in Message Queue (MQ) Software with 78 reviews. Anypoint MQ is rated 7.0, while Apache Kafka is rated 8.0. The top reviewer of Anypoint MQ writes "Useful for asynchronous messaging, but it lacks features, and the storage is limited". On the other hand, the top reviewer of Apache Kafka writes "Real-time processing and reliable for data integrity". Anypoint MQ is most compared with ActiveMQ, Amazon SQS, VMware Tanzu Data Services, IBM MQ and PubSub+ Event Broker, whereas Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, PubSub+ Event Broker and VMware Tanzu Data Services. See our Anypoint MQ vs. Apache Kafka report.
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