We performed a comparison between IBM MQ and Redis 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 interaction within the system."
"There is no dependency on the end party service's run status."
"It is stable, reliable, and scalable."
"The solution is fast with end data compared to other messaging tools."
"A stable and reliable software that offers good integration between different systems."
"The most valuable features are RDQM and queue sharing."
"RabbitMQ and Kafka require more steps for setup than IBM MQ. Installation of the IBM product is very simple."
"We have implemented business to business transactions over MQ messaging. The guaranteed and once only delivery ensures business integrity."
"The solution's technical support team is good...The solution's initial setup process was straightforward."
"Redis is a simple, powerful, and fast solution."
"The online interface is very fast and easy to use."
"The product offers fast access to my database."
"The most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."
"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."
"The in-memory data makes it fast."
"They have provided a Liberty Profile in the Web Console for administration, and that could be further enhanced. It is not fit for use by an enterprise. They have to get rid of their WebSphere process and develop a front-end on Node.js or the like."
"It could get a face lift with a modern marketing campaign."
"MQ needs instruments for connection with new modern queues like Kafka or RabbitMQ."
"More documentation would be good because some features are not deeply implemented."
"IBM MQ could streamline its complexity to be more like Kafka without the channel complexities of clusters, making it more straightforward."
"The user interface should be enhanced to include more monitoring features and other metrics. The metrics should include not only those from the IBM MQ point of view but also CPU and memory utilization."
"The issue is that they're using a very old clustering model."
"I believe there is too much code to be done in order to handle the elements that you develop."
"Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application."
"I would prefer it if there was more information available about Redis. That would make it easier for new beginners. Currently, there is a lack of resources."
"The initial setup took some time as our technical team needed to familiarize themselves with Redis."
"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."
"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."
"There is a lack of documentation on the scalability of the solution."
"The only thing is the lack of a GUI application. There was a time when we needed to resolve an issue in production. If we had a GUI, it would have been easier."
IBM MQ is ranked 2nd in Message Queue (MQ) Software with 158 reviews while Redis is ranked 7th in Database as a Service with 7 reviews. IBM MQ is rated 8.4, while Redis is rated 8.8. The top reviewer of IBM MQ writes "Offers the ability to batch metadata transfers between systems that support MQ as the communication method". On the other hand, the top reviewer of Redis writes "A solution that can benefit both user and customer-facing applications while effectively preventing potential lag in the user-facing application". IBM MQ is most compared with ActiveMQ, Apache Kafka, VMware RabbitMQ, Red Hat AMQ and Amazon EventBridge, whereas Redis is most compared with Google Cloud Memorystore, Amazon SQS, ActiveMQ, Chroma and Qdrant. See our IBM MQ vs. Redis report.
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