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."
"I like the performance and reliability of Kafka. I needed a data streaming buffer that could handle thousands of messages per second with at least one processing point for an analytics pipeline. Kafka fits this requirement very well."
"The connectors provided by the solution are valuable."
"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."
"The ability to partition data on Kafka is valuable."
"The most valuable feature is the support for a high volume of data."
"Scalability is very good."
"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 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."
"The management tool could be improved."
"We struggled a bit with the built-in data transformations because it was a challenge to get them up and running the way we wanted."
"Some vendors don't offer extra features for monitoring."
"The solution can improve its cloud support."
"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)."
"More adapters for connecting to different systems need to be available."
"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."
"Apache Kafka has performance issues that cause it to lag."
"In the next release, I would like to see the GUI allow you to configure the security section."
"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."
Apache Kafka is ranked 1st in Message Queue (MQ) Software with 76 reviews while IBM Event Streams is ranked 10th 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 "Great access to multiple devices, with stability, at an affordable price". 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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