We compared Red Hat AMQ and Apache Kafka based on our user's reviews in several parameters.
The user reviews highlight that Red Hat AMQ is praised for its robust messaging capabilities, seamless integration, and excellent scalability, with exceptional customer service and support. In contrast, Apache Kafka is valued for its high scalability and fault-tolerant architecture, real-time data handling, and support for stream processing and data replication. However, Apache Kafka does not have feedback on customer service, pricing, or ROI, unlike Red Hat AMQ, which has some areas for improvement in scalability, ease of deployment, and customization options.
Features: Red Hat AMQ is recognized for its robust messaging capabilities, seamless integration, excellent scalability, reliable performance, and advanced security measures. On the other hand, Apache Kafka stands out for its high scalability, fault-tolerant architecture, real-time data handling, easy integration, support for stream processing and data replication.
Pricing and ROI: The setup cost for Red Hat AMQ is reported to be straightforward and hassle-free, with reasonable pricing. However, there is no available information regarding the pricing, setup cost, and licensing of Apache Kafka., Based on user feedback, Red Hat AMQ has a positive ROI with efficient workflow, increased productivity, reduced downtime, and improved message delivery. Apache Kafka's ROI reviews are either missing or unavailable.
Room for Improvement: Red Hat AMQ has room for improvement in scalability, ease of deployment, customization options, documentation, community support, platform stability, monitoring and management capabilities, and security features. In contrast, there is no specific feedback on improvement areas for Apache Kafka.
Deployment and customer support: Comparing the user reviews, Red Hat AMQ users mention varying timeframes for deployment and setup separately. In contrast, there is no information available regarding the duration required for Apache Kafka., Red Hat AMQ is highly regarded for its exceptional customer service and support. Users praise their prompt, friendly, and professional assistance, showcasing a deep understanding of their customers' needs. On the other hand, no feedback is available for Apache Kafka's customer service.
The summary above is based on 39 interviews we conducted recently with Red Hat AMQ and Apache Kafka users. To access the review's full transcripts, download our report.
"Kafka allows you to handle huge amounts of data and classify it into different categories. If you have huge amounts of data, Kafka is a very good solution for data classification."
"Deployment is speedy."
"When comparing it with other messaging and integration platforms, this is one of the best rated."
"Good horizontal scaling and design."
"Kafka's most valuable feature is its user-friendliness."
"The most valuable feature of Apache Kafka is Kafka Connect."
"The most valuable feature is that it can handle high volume."
"For example, when you want to send a message to inform all your clients about a new feature, you can publish that message to a single topic in Apache Kafka. This allows all clients subscribed to that topic to receive the message. On the other hand, if you need to send billing information to a specific customer, you can publish that message on a topic dedicated to that customer. This message can then be sent as an SMS to the customer, allowing them to view it on their mobile device."
"AMQ is highly scalable and performs well. It can process a large volume of messages in one second. AMQ and OpenShift are a good combination."
"The solution is very lightweight, easy to configure, simple to manage, and robust since it launched."
"Reliability is the main criterion for selecting this tool for one of the busiest airports in Mumbai."
"Red Hat AMQ's best feature is its reliability."
"My impression is that it is average in terms of scalability."
"The most valuable feature for us is the operator-based automation that is provided by Streams for infrastructure as well as user and topic management. This saves a lot of time and effort on our part to provide infrastructure. For example, the deployment of infrastructure is reduced from approximately a week to a day."
"The most valuable feature is stability."
"This product is well adopted on the OpenShift platform. For organizations like ours that use OpenShift for many of our products, this is a good feature."
"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."
"I would like to see an improvement in authentication management."
"Apache Kafka can improve by making the documentation more user-friendly. It would be beneficial if we could explain to customers in more detail how the solution operates but the documentation get highly technical quickly. For example, if they had a simple page where we can show the customers how it works without the need for the customer to have a computer science background."
"Managing Apache Kafka can be a challenge, but there are solutions. I used the newest release, as it seems they have removed Zookeeper, which should make it easier. Confluent provides a fully managed Kafka platform, in which the cluster does not need to be managed."
"Apache Kafka could improve data loss and compatibility with Spark."
"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."
"Lacks elasticity and the ability to scale down."
"The ability to connect the producers and consumers must be improved."
"AMQ could be better integrated with Jira and patch management tools."
"Red Hat AMQ's cost could be improved, and it could have better integration."
"This product needs better visualization capabilities in general."
"The turnaround of adopting new versions of underlying technologies sometimes is too slow."
"There are some aspects of the monitoring that could be improved on. There is a tool that is somewhat connected to Kafka called Service Registry. This is a product by Red Hat that I would like to see integrated more tightly."
"There are several areas in this solution that need improvement, including clustering multi-nodes and message ordering."
"The challenge is the multiple components it has. This brings a higher complexity compared to IBM MQ, which is a single complete unit."
"There is improvement needed to keep the support libraries updated."
Apache Kafka is ranked 1st in Message Queue (MQ) Software with 78 reviews while Red Hat AMQ is ranked 8th in Message Queue (MQ) Software with 8 reviews. Apache Kafka is rated 8.0, while Red Hat AMQ is rated 8.0. The top reviewer of Apache Kafka writes "Real-time processing and reliable for data integrity". On the other hand, the top reviewer of Red Hat AMQ writes "A stable, open-source technology, with a convenient deployment". Apache Kafka is most compared with IBM MQ, Amazon SQS, Anypoint MQ, PubSub+ Event Broker and VMware Tanzu Data Services, whereas Red Hat AMQ is most compared with ActiveMQ, IBM MQ, VMware Tanzu Data Services, IBM Event Streams and Amazon MQ. See our Apache Kafka vs. Red Hat AMQ report.
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