We performed a comparison between Amazon SQS and IBM MQ 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."With SQS, we can trigger events in various cloud environments. It offers numerous benefits for us."
"The libraries that connect and manage the queues are rich in features."
"There is no setup just some easy configuration required."
"I appreciate that Amazon SQS is fully integrated with Amazon and can be accessed through normal functions or serverless functions, making it very user-friendly. Additionally, the features are comparable to those of other solutions."
"We use SNS as the publisher, and our procurement service subscribes to those events using SQS. In the past, we relied on time-based or batch-based processes to send data between services on-premises. With SQS, we can trigger actions based on real-time changes in business processes, improving reliability."
"SQS is very stable, and it has lots of features."
"The most valuable feature of Amazon SQS is the interface."
"One of the useful features is the ability to schedule a call after a certain number of messages accumulate in the container. For example, if there are ten messages in the container, you can perform a specific action."
"Has helped integrate between applications, reduce rework, and costs by reusing working components of existing applications."
"It is stable, reliable, and scalable."
"The most valuable feature of IBM MQ is it has all the features necessary for contemporary messaging, not only for the financial industry but for any application."
"It is useful for exchanging information between applications."
"I haven't seen any severe issues related to it. Most of the time it's running. That is the advantage of IBM MQ."
"Reliability is the most valuable feature. MQ is used to support critical business applications."
"IBM MQ deals mainly with the queuing mechanism. It passes the data and it publishes it. These two abilities are the most valuable features."
"Encryption and the fact that we have not had any data loss issues so far have been very valuable features. IBM MQ is well encrypted so that we are well within our compliance and regulatory requirements, so that is a plus point as well."
"Sometimes, we have to switch to another component similar to SQS because the patching tool for SQS is relatively slow for us."
"There are some issues with SQS's transaction queue regarding knowing if something has been received."
"It would be easier to have a dashboard that allows us to see everything and manage everything since we have so many queues."
"As a company that uses IBM solutions, it's difficult to compare Amazon SQS to other solutions. We have been using IBM solutions for a long time and they are very mature in integration and queuing. In my role as an integration manager, I can say that Amazon SQS is designed primarily for use within the Amazon ecosystem and does not have the same level of functionality as IBM MQ or other similar products. It has limited connectivity options and does not easily integrate with legacy systems."
"The solution is not available on-premises so that rules out any customers looking for the messaging solution on-premises."
"Be cautious around pay-as-you-use licensing as costs can become expensive."
"Sending or receiving messages takes some time, and it could be quicker."
"The tool needs improvement in user-friendliness and discoverability."
"It's hard to put in a nutshell, but it's sort of developed as more of an on-premise solution. It hasn't moved much away from that."
"It could always be more stable and secure."
"I don’t like legacy view of MQ."
"The integration capabilities could be even easier."
"If they could come up with monitoring dashboards that would be good. We are using external monitoring tools, apart from our IBM MQ, to monitor IBM MQ. If we could get monitoring tools or dashboards to keep everything simple for the user to understand, that would be good."
"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."
"We have had scalability issues with some projects in the past."
"There are things within the actual product itself that can be improved, such as limitations on message length, size, etc. There is no standardized message length outside of IBM. Each of the implementations of the MQ series or support of that functionality varies between various suppliers, and because of that, it is very difficult to move from one to the other. We have IBM MQ, but we couldn't use it because the platform that was speaking to MQ didn't support the message length that was standard within IBM MQ. So, we had to use a different product to do exactly the same thing. So, perhaps, there could be more flexibility in the standards around the message queue. If we had been able to increase the message queue size within the IBM MQ implementation, we wouldn't have had to go over to another competing product because the system that was using MQ messaging required the ability to hold messages that were far larger than the IBM MQ standard. So, there could be a bit more flexibility in the structuring. It has as such nothing to do with the IBM implementation of MQ. It is just that the standard that is being put out onto the market doesn't actually stipulate those types of things."
Amazon SQS is ranked 5th in Message Queue (MQ) Software with 13 reviews while IBM MQ is ranked 2nd in Message Queue (MQ) Software with 158 reviews. Amazon SQS is rated 8.2, while IBM MQ is rated 8.4. The top reviewer of Amazon SQS writes "Stable, useful interface, and scales well". On the other hand, the top reviewer of IBM MQ writes "Offers the ability to batch metadata transfers between systems that support MQ as the communication method". Amazon SQS is most compared with Apache Kafka, Redis, Amazon MQ, Anypoint MQ and PubSub+ Event Broker, whereas IBM MQ is most compared with ActiveMQ, Apache Kafka, VMware Tanzu Data Services, Red Hat AMQ and Anypoint MQ. See our Amazon SQS vs. IBM MQ report.
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