We performed a comparison between Apache Kafka and Aurea CX Messenger 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 an open-source product, which means it doesn't cost us anything to use it."
"As a software developer, I have found Apache Kafka's support to be the most valuable...The solution is easy to integrate with any of our systems."
"The stability is very nice. We currently manage 50 million events daily."
"This is a system for email and other small devices. There has been a relay of transactions continuously over the last two years it has been in production."
"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."
"It is easy to configure."
"The most important feature for me is the guaranteed delivery of messages from producers to consumers."
"Apache Kafka's most valuable features include clustering and sharding...It is a pretty stable solution."
"The solution is highly scalable, this is very important for us. It can handle a lot of messages."
"ESB: Provides all kind of possibilities to resolve business needs. A lot of ready to use services plus custom Java services. I used a lot of them all."
"SDM: User-friendly tool which allows for a seamless approach to performing hotfixes, if required."
"The Messenger Broker is a really good feature."
"The features that I have found most valuable are that it is very easy to develop. Most of it is graphical, but we also have the option to add any custom call that you need."
"The solution offers excellent stability."
"Observability could be improved."
"Lacks elasticity and the ability to scale down."
"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."
"As an open-source project, Kafka is still fairly young and has not yet built out the stability and features that other open-source projects have acquired over the many years. If done correctly, Kafka can also take over the stream-processing space that technologies such as Apache Storm cover."
"Kafka is complex and there is a little bit of a learning curve."
"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 solution can improve by having automation for developers. We have done many manual calculations and it has been difficult but if it was automated it would be much better."
"would like to see real-time event-based consumption of messages rather than the traditional way through a loop. The traditional messaging system works by listing and looping with a small wait to check to see what the messages are. A push system is where you have something that is ready to receive a message and when the message comes in and hits the partition, it goes straight to the consumer versus the consumer having to pull. I believe this consumer approach is something they are working on and may come in an upcoming release. However, that is message consumption versus message listening."
"It should include/add more services with the product as per market demand. It should include custom Java services developed by any organization or provide a platform where users/developers can share ideas/custom services, etc."
"The solution needs to improve support for new, more recent protocols on the API."
"You should not hurry with upgrades without testing the whole product completely."
"The improvement is that it should be on the cloud and use web services."
"Aurea CX Messenger could improve by making better use of the new APIs"
"I don't know if the last version has the cloud option, but maybe that could be good. That could be something that is included."
Apache Kafka is ranked 1st in Message Queue (MQ) Software with 78 reviews while Aurea CX Messenger is ranked 10th in Message Queue (MQ) Software with 7 reviews. Apache Kafka is rated 8.0, while Aurea CX Messenger is rated 9.0. The top reviewer of Apache Kafka writes "Real-time processing and reliable for data integrity". On the other hand, the top reviewer of Aurea CX Messenger writes "Lightweight and efficient solution". Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, Anypoint MQ and PubSub+ Event Broker, whereas Aurea CX Messenger is most compared with Mule ESB, TIBCO Enterprise Message Service and WSO2 Enterprise Integrator. See our Apache Kafka vs. Aurea CX Messenger report.
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