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 most valuable feature is the documentation, which is good and clear."
"The high availability is valuable. It is robust, and we can rely on it for a huge amount of data."
"Scalability is very good."
"Kafka's most valuable feature is its user-friendliness."
"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."
"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."
"The most valuable feature is the support for a high volume of data."
"The most valuable features of the solution revolve around areas like the latency part, where the tool offers very little latency and the sequencing part."
"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 stability has been good."
"Something that could be improved is having an interface to monitor the consuming rate."
"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 user interface is one weakness. Sometimes, our data isn't as accessible as we'd like. It takes a lot of work to retrieve the data and the index."
"The support on Apache Kafka could be improved."
"Data pulling and restart ability need improving."
"More Windows support, I believe, is one area where it can improve."
"The third party is not very stable and sometimes you have problems with this component. There are some developments in newer versions and we're about to try them out, but I'm not sure if it closes the gap."
"More adapters for connecting to different systems need to be available."
"In the next release, I would like to see the GUI allow you to configure the security section."
"It would be helpful if they could help us explain why they, as in, the customers, should use the product and the overall benefits."
"The product's interface needs improvement."
Apache Kafka is ranked 1st in Message Queue (MQ) Software with 78 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 Redis, 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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