We performed a comparison between Apache Kafka and IBM Event Streams 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 connectors provided by the solution are valuable."
"The most valuable feature is the documentation, which is good and clear."
"Deployment is speedy."
"Its availability is brilliant."
"The solution is very easy to set up."
"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."
"The most valuable features are the stream API, consumer groups, and the way that the scaling takes place."
"Kafka can process messages in real-time, making it useful for applications that require near-instantaneous processing."
"The stability has been good."
"The system efficiently processes and calculates the data flow within the cluster using DLP functionality."
"I'm an administrator, and what I like most is the interface, the security, and the storage."
"The manageability should be improved. There are lots of things we need to manage and it should have a function that enables us to manage them all cohesively."
"More Windows support, I believe, is one area where it can improve."
"The price for the enterprise version is quite high. It would be better to have a lower price."
"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."
"The graphical user environment is currently lacking."
"Apache Kafka can improve by adding a feature out of the box which allows it to deliver only one message."
"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 solution should be easier to manage. It needs to improve its visualization feature in the next release."
"The product's interface needs improvement."
"It would be helpful if they could help us explain why they, as in, the customers, should use the product and the overall benefits."
"In the next release, I would like to see the GUI allow you to configure the security section."
Apache Kafka is ranked 1st in Message Queue (MQ) Software with 77 reviews while IBM Event Streams is ranked 11th in Message Queue (MQ) Software with 3 reviews. Apache Kafka is rated 8.0, while IBM Event Streams is rated 8.4. The top reviewer of Apache Kafka writes "Real-time processing and reliable for data integrity". On the other hand, the top reviewer of IBM Event Streams writes "Easy to use, stable, has a good interface, and the security is good". Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, Anypoint MQ and Oracle Data Integrator (ODI), whereas IBM Event Streams is most compared with Red Hat AMQ and IBM MQ. See our Apache Kafka vs. IBM Event Streams report.
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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.
