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."It's easy to use and comes as a bundle package with the Anypoint Platform, removing the need for any complex setup."
"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."
"Good interface, simple to use and stable."
"We use simple queues and exchanges to route messages to multiple queues. The publish/subscribe model is also helpful."
"Messaging and queueing solution that has good stability and scalability. It can be used for a variety of messaging types."
"Initial setup was very straightforward. Deployment is a cakewalk."
"The most valuable feature of Anypoint MQ is it comes with MuleSoft so we don't have to maintain separate components."
"The solution is scalable, and its performance is quite good."
"Kafka's most valuable feature is its user-friendliness."
"It is the performance that is really meaningful."
"The use of Kafka's logging mechanism has been extremely beneficial for us, as it allows us to sequence messages, track pointers, and manage memory without having to create multiple copies."
"We appreciate the ability to persistently and quickly write data, as well as the flexibility to customize it for multiple customers. Additionally, we like the ability to retain data within Apache Kafka and use features, such as time travel to access past customer data. The connection with other systems, such as Apache Kafka and IBM DB2."
"The open-source version is relatively straightforward to set up and only takes a few minutes."
"The processing power of Apache Kafka is good when you have requirements for high throughput and a large number of consumers."
"When comparing it with other messaging and integration platforms, this is one of the best rated."
"Scalability is very good."
"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."
"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"
"Anypoint MQ could improve the user interface."
"The solution's licensing model is expensive and could be improved."
"When we are integrating with other applications, readily available connectors make it easy. However, when it comes to external applications, connectivity isn't as straightforward."
"The product does not provide a priority level for the message."
"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 is a lot of information available for the solution and it can be overwhelming to sort through."
"The price for the enterprise version is quite high. It would be better to have a lower price."
"I would like to see an improvement in authentication management."
"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."
"The graphical user environment is currently lacking."
"The repository isn't working very well. It's not user friendly."
"The product is good, but it needs implementation and on-going support. The whole cloud engagement model has made the adoption of Kafka better due to PaaS (Amazon Kinesis, a fully managed service by AWS)."
"The interface has room for improvement, and there is a steep learning curve for Hadoop integration. It was a struggle learning to send from Hadoop to Kafka. In future releases, I'd like to see improvements in ETL functionality and Hadoop integration."
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 76 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 "Great access to multiple devices, with stability, at an affordable price". Anypoint MQ is most compared with ActiveMQ, Amazon SQS, VMware RabbitMQ, 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 RabbitMQ. See our Anypoint MQ vs. Apache Kafka report.
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