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."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 most valuable features of the solution revolve around areas like the latency part, where the tool offers very little latency and the sequencing part."
"It is a useful way to maintain messages and to manage offset from our consumers."
"It eases our current data flow and framework."
"We get amazing throughput. We don't get any delay."
"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."
"Apache Kafka's most valuable features include clustering and sharding...It is a pretty stable solution."
"The processing power of Apache Kafka is good when you have requirements for high throughput and a large number of consumers."
"The system efficiently processes and calculates the data flow within the cluster using DLP functionality."
"The stability has been good."
"I'm an administrator, and what I like most is the interface, the security, and the storage."
"If the graphical user interface was easier for the Kafka administration it would be much better. Right now, you need to use the program with the command-line interface. If the graphical user interface was easier, it could be a better product."
"Some vendors don't offer extra features for monitoring."
"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."
"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."
"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."
"More adapters for connecting to different systems need to be available."
"Maintaining and configuring Apache Kafka can be challenging, especially when you want to fine-tune its behavior."
"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 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."
"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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