IBM MQ Reviews

The product does not allow users to access data from API or external networks since it can only be used in a closed network, making it an area where improvements are required.

I have been using IBM MQ for fourteen years. My company is a customer of the product. I don't remember the version of the solution.

Stability-wise, I rate the solution a ten out of ten.

Scalability-wise, I rate the solution a nine out of ten.

Around 15 to 20 people in my company use the solution.

The product is used whenever there is a need to use it in the development phase. Once the tool is deployed on a particular site, we don't need to use the product until and unless any issues or errors are reported.

I rate the technical support a nine out of ten.

Positive

Before IBM MQ, my company used to use normal point-to-point APIs. My company started to use IBM MQ because we wanted to introduce standardization in our processes.

The solution is deployed on an on-premises model.

I rate the product price a four on a scale of one to ten, where one is low price and ten is high price.

IBM MQ streamlined our company's application-to-application communication since it is a rigid and robust solution that allows you to transfer data from one system to another system using the tool's adapters. In general, the product is very robust.

A scenario where IBM MQ reliability was critical for our company's operations includes an incident involving three to four of our clients who use the product, among which a few are airports situated in regions like Delhi and Bangalore in India. All the big airports use IBM MQ as an integration platform, so it is considered a tier-one application. In the aforementioned areas, there is a need for a tool that offers scalability and robustness.

The feature of IBM MQ, which I found to be most instrumental for our messaging needs, stems from the fact that my company never lost messages when we were using the product. The product has a queue manager, and the message doesn't go anywhere until and unless you read it. The best part of the product is that it ensures that there is no data loss.

IBM MQ's security features have enhanced the data transmission process in our company since it functions in a very secure manner. Nobody can get unauthorized access to the product.

The product offers very good scalability to support business growth.

IBM MQ's integration capabilities with other systems are beneficial since we have developed many interfaces for many airports. Many systems use IBM MQ to send data from one system to another, so it has helped in a great way when it comes to the integration part.

I rate the overall tool an eight to nine out of ten.

We're using the IBM MQ series in development, integration, UAT, and production areas.

What I found most valuable in this software is its reliability because messages that are sent into the queues are consumed by the other end of the connectivity. It has helped us maintain integration between two different systems, so that has been part of one of the layers of our architecture that communicates, for example, a back-end platform and back-end core system with a front-end platform. In our case, we are using the backend as a 224 banking system and the frontend we are using the Wall Street front office system. Those two systems are interconnected via the IBM MQ series.

An area for improvement for this software is that sometimes, messages are not consumed in the queues. We have seen queues where not all messages are emptied. That issue has been solved by our IBM team located in Spain, but we haven't received detailed technical information as to why those queues are not totally consumed. A probable reason could be some service and availability issue because of server updates in IBM MQ itself, or server updates related to the operating system, which in our case, we are using Red Hat Linux.

I have seen a lot of problems with the file transfers, e.g. using FTP or SFTP or LFTP. Normally with all these kinds of transfers, they are not on a transaction boundary, meaning a transfer can fail during the execution. We are not certain why it hasn't reached the destination as these protocols are not transactional which you normally have in MQ messages. What I would like to see in the next release is a solution for the MQ file transfer. I saw some literature about it, but I am not sure if the feature is available, or if it will be easy to configure and maintain in the bank.

We've used IBM MQ within the last year. We've being using it on a continuous basis because it is the secure platform we have in our banking system.

IBM MQ is very stable. It's the best server in terms of interconnectivity. The reliability that the MQ series has, I haven't seen in other servers that are also based in MQ.

My impression of the scalability of this software: We started with a very easy installation where we have very few queues defined. Then, we had a huge integration where we applied, pulled, and observed that the scalability is very straightforward. We also found an easy way: making an active-passive configuration automatic. For example: If you have one active server going down, the passive server is switched on automatically, without us needing to do anything from our end, which means the active-passive configuration works properly.

I haven't been involved in contacting IBM's support, but in general, we didn't have any vendor issues.

The setup for this software was very complex, particularly with the integration between the two systems I was talking about earlier: on the core backend and on the user frontend that is the Wall Street system. It has a lot of different types of flows, and all those flows are defined into the server that is called TTI that is working under the MQ series. That contains a lot of complexities because the vendor of the front-end system has included in the MQ side the server functionality for the application, instead of doing it directly in either the backend or the frontend. This means the MQ part is also helping with the logic for processing messages, and the logic is maintained in a layer: the MQ layer in the server that's called TTI. This is the first time we have faced such complexity, but regarding the MQ as is, meaning the vanilla version, it is quite straightforward. That server works the proper way.

We used consultants for the implementation and those were consultants from the vendor who were already experienced in the TTI server.

The licensing for this software is on a yearly basis, but the bank is holding just one license for the entire bank: a corporate license. As for additional costs, it's a standard fee that includes the maintenance and updates that are released periodically.

I didn't download Active MQ and IBM MQ. I was checking on the website because I wanted to know certain functionalities about those two series. So what I downloaded was the literature about their functionalities.

Regarding IBM products, the only one that I was working with was the MQ series.

All products in our organization, particularly the banking systems are on-premise. We are not yet ready to do cloud deployment.

Deployment of this software in the TTI part took three months. For the core part, deployment took approximately one month. The time that it took for deployment is also associated with the number of servers that we had.

We have four groups: development, integration, user acceptance test, and production. In each of these groups, they have their own MQ servers. We started with the installation for the development group, then going forward and solving the issues we found at the beginning with the installation instructions. We continued with the other areas until we reached the production server recently, back in mid-October.

We currently have 200 users of this software.

Deployment of the IBM MQ at core requires two people in our organization, but for the personalized application or the customized one, we have 10 people.

I'm rating this software a five because it is quite expensive and complex. I'm giving this a five over ten rating not just because it runs, but because it has a lot of features.

We have two different use cases for this solution. We use it for the interactive interconnectivity between clients into the cloud and applications communicating within our enterprise software.

I have found the solution to be very robust. It has a strong reputation, easy to use, simple to configure in our enterprise software, and supports all the protocols that we use.

Everything in the solution could be simplified a little. We have trouble with the configuration and cost which is mostly an internal issue, but nevertheless, the errors do come up when there are configuration changes across a specific version. We have slightly different versions, which may have slightly different configurations which cause issues.

It is intensive to maintain and train people to use the application. There has to be a certain amount of education going into the developers, as well as the infrastructure staff. This could be improved.

I have been using IBM MQ for approximately 20 years.

The solution is very stable.

We have found the solution is highly scalable. It is very easy to scale horizontally, we can scale across and make another instance of the application if we need to.

We have approximately 2,000 to 10,000 are using this solution in my organization.

The quality of service can vary depending on the level of support for different issues. If it is on an issue with what IBM does within their cloud that they control as an ASP it can be somewhat complicated because it is not visible to us. They only support and run the model for us. They will do the updates, manage, and make sure everything is working, it is an effective service but if we have an issue, we do not get that much of a response from them. However, when it is on-premise with us on our side and we talk directly to IBM and they support us fully for the application. 

The installation can be fairly simple, but when changes or modifications are necessary within the system for the implementation it can be a bit difficult. We standardize a lot of the process whether it is using Jenkins or Pipelines, or another solution to make it as simple as possible. However, when we make changes and more errors and configuration problems come up, it can be quite difficult to narrow down those problems. Generally, we automate most of this part which has limited the impact but the process could be improved.

Since we automate a lot of the deployment elements I am not sure the breakdown of how long it takes for each part, but typically all together it takes approximately half a day.

We do the implementation of the solution.

This solution is a message exchanges system for queuing messages. The messages come in and if they are rejected or if they fail to be received, they sometimes fall into something that is called a dead letter queue, queues that are dead, or queues that are ineffective. Those have to be maintained and monitored at all times. There is quite a lot of attention needed. It is extremely critical and the robustness is extreme when it is on the edge. When it is in the enterprise is not that bad, but if it is on the edge, outward-facing to the client, we do a lot of work to maintain and ensure that it is working at all times.

You have to license per application installation and if you expand vertically or horizontally, you will be paying for more licenses. The licenses are approximately $10,000 to $15,000 a license, it can get expensive quite quickly.

We maintain and support a lot of applications across a wide enterprise. Therefore the cost of licenses increases with each individual implementation of a client because we have to pay for licenses. We are looking for an alternative solution to reduce costs by going to an open-source messaging system because we do not need the robustness of IBM MQ.

I have evaluated Rabbit MQ.

If you want a robust enterprise application that you know is going to be around that you can trust and you are very comfortable with the concept that you are going to pay for that stability and robustness, then IBM MQ is the best choice. If you are on a lighter throughput or you do not need to worry about the robustness as much then Rabbit MQ could be the better choice. It is a fairly stable application, and it works very well but you do not have that industrialization and long-term code benefit that you receive from IBM WebSphere. If your use case and budget fit then this solution would be a great choice.

We have used the application for a long time. I understand it, how it works and therefore I feel comfortable with it. From a pure usage standpoint, it is great. It will handle anything, but you have to be willing to understand that you are getting into something you cannot go backward on very easily. You cannot easily swap another suitable or similar application out without a lot of work involved. You have to be very careful what you are trying to accomplish with your software.

I rate IBM MQ an eight out of ten.

We are all using the file transfer or MQ FTP feature. We are also it for distributed queuing and clustering.

Currently, we are not using many advanced features. We are only using point-to-point MQ. I have previously used features like context-based authentication, SSL authentication, and high availability. These are good and pretty cool features. They make your business reliable.

For critical business needs, everyone uses only IBM MQ. It is the first choice because of its reliability. There is a one-send-and-one-delivery feature. It also has a no-message-loss feature, and because of that, only IBM MQ is used in banking or financial sectors.

It would be an advantage if they can include streaming in IBM MQ, similar to Kafka. Kafka is used mainly for streaming purposes. This feature is clearly lacking in IBM MQ. If they add this feature to IBM MQ, it will have an edge over other products.

I have been working with IBM MQ for the last 14 years.

IBM MQ is a very stable product. You also get very good support from IBM, but we rarely have to go back to IBM for support.

It has good scalability. We are using point-to-point or distributed MQ, so we are not that much worried about scalability. If we need scalability, we can use MQ clustering for a high workload. We can configure it for resiliency and high availability by using the multi-instance queue managers. If one of the nodes goes down, it will automatically failover to the other node. It also provides some advanced high availability features on top of the multi-instance queue manager.

You get very good support from IBM. If you are facing any issues that are tricky or there is any code issue where FDC files are being generated and you're not sure what is happening, you can open a case with them. They will help you with that. They are very efficient.

The initial setup is very simple. The installation doesn't take more than 15 or 20 minutes.

I have installed it myself. I'm also doing maintenance, patching, upgrades, and migrations. We have a team of 11 administrators who are working on IBM MQ. They use it on a daily basis.

The upgrade process is simple. I refer to IBM Information Center. As a part of the preparation, I go through all the steps that they have given. I correlate the information with the infrastructure that we have. According to the current infrastructure, we document the requirements, and after that, we do the upgrade. We couldn't do in-place migration or upgrade, so we had to do parallelization. We took a new server, installed the new version, created a new queue manager, and migrated all the services.

It is a licensed product. As compared to an open-source solution, such as RabbitMQ, it is obviously costly. If you're using IBM Message Broker, which is a licensed product, IBM MQ is included in the same license. You don't have to pay separately for IBM MQ. The license cost of IBM MQ is lesser than IBM Message Broker.

I have been asked to do a PoC for one of our use cases, and we used RabbitMQ for that. They wanted to assess RabbitMQ in comparison to IBM MQ.

Obviously, IBM MQ has more advantages when compared with RabbitMQ. The main reason for doing this PoC was that RabbitMQ is an open-source product. Cost-wise, it looks effective, but from a technical point of view as well as from the point of view of scalability and features, IBM MQ is very enriched.

I would definitely recommend this solution, but it also depends on your needs and business case. I have been using IBM MQ for the last 14 years. I am very much used to it, and I like it. I have used other products too, such as RabbitMQ and Kafka, but not that much. 

I would rate IBM MQ an eight out of ten.

It's the EAI for connecting all our services like transport systems, replenishment systems, and order entry systems to our supply chain warehouse systems.

The most valuable feature is that it's a very strong integration platform and it is quite a monolithic solution. It's got everything.

At the moment we're trying to be a little bit more nimble in terms of how we deliver things for the business. We need to look at using some of the cloud-first as we have invested quite heavily in Azure. So we want to move away from all our legacy data centers and at the right time, we will move into the cloud as much as possible.

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. But we want to use the auto-scaling and scalability of some of the cloud services. It has developed a fair bit in terms of even the database of the board and stuff like that. Over the next three to five years, we want to move totally into the Azure.

I have been using IBM MQ for fifteen years in total. 

It's very stable.

It's the old way, old school scaler, where you need to add calls and you need to add memory, you need to add compute power, and you need to add storage capacity. You need to have bigger CPUs and more and more cores.

That's the old way of doing it. So you need to think about hardware. You need to think about memory, you need to think about storage capacity, you need to think about different switches, network switches, and whatnot. Scalability hasn't been a problem. It's just the sort of older generation of doing scaling so we want to be able to scale in the cloud.

The process for the scaling could be a little bit simplified.

IBM handles technical support. They are good. 

We did a selection and instead of going with some of the others, like TIBCO and whatnot, we went with IBM MQ.

We've set it up in several ways. I had it for a year. Each original implementation was with Accenture and we've had several crews come in to manage the services. There are different SIs that come in like Tech Mahindra and HCL. Over 15 years we've had a lot of independents come in and support. 

We're just building on top of the existing platform now. But we've made a strategic decision to move away from this on-premise infrastructure, the data centers if possible.

We've got 4,000 employees, it's quite a sizeable business that we take on vendors to come in. We're not an IT shop. Different managed services from different vendors.

We don't consider users for the platform. It's more about what transactions. So I think it ranges from two and a half million to 10 million messages a day.

My advice would be to rethink the cloud strategy. Make sure to have certain components that you can put into the cloud. Think about cloud-first properly so that it scales automatically. It knows how to work with some of the container services that are out there so that it scales better. It has some cloud components that are good but you still have quite a strong on-prem infrastructure to support it.

It's quite a complete solution. They have modules and stuff that they acquire and may add on as features and modules, additional modules, which is a very complete solution. It's been expensive to keep going the way we're going. And the turnaround is a bit slow, slower than we want. The business is changing quite rapidly, being in retail so we need to pivot quite quickly. And so that's why we're looking at seriously moving towards the cloud where we can simplify some of our processes and actually even our maintenance in it and the way we operate.

I would rate IBM MQ a seven out of ten.

MQ is a very affordable and easy to use messaging product. I like how fast you can write an API and send a message. Thus, its versatility, portability and easy to use functionality are valuable features of this product.

We use MQ for our insurance claims and use it heavily for CICS in the IBM Mainframe and use the IBM IMS for our applications.

Right now, with the new functions such as z/OS & distributed, I don't see any need for additional features as such. This is because everything that MQ provides, we do it. It's okay right now. Things are working fine.

The migration aspect is different and it depends on who is doing it, i.e., whether a person is doing it for the first time or a person who has done it for 18 times. I have done a lot of migrations in MQ, starting from this product version 2 and now it is on version 9. I have done a lot of migrations, so it all depends on how much experience you have, how you set up your migration task and so on. Migration is fine. I don't see any problem there.

If IBM develops a tool inside the MQ product for monitoring, then that will be better for the other IBM products available.

We have been using this solution for 17-18 years.

It's a very stable product. Being one of IBM's high-end messaging solution, it's a very robust product.

We have not had any issues. It is scalable.

I use the technical support from time to time in Hursley because MQ is developed in Hursley. I keep in contact with Hursley developers because in my organization, we use MQ a whole lot for our messaging. I am very happy with the support.

It is a good messaging product from IBM and is easy to use. It is very affordable and flexible, so I will advise other customers/companies to look into this product and use it.

The most important criteria while selecting a vendor are the customer support and easy to use the product. It is also important if the vendors can provide training to the staff and always be behind the customers to help them.

It provides scalability and it also provides secure messaging.

It is very robust and very scalable.

At a recent conference, I went to a presentation that had the latest version and it has amazing stuff that's coming out. So, I am excited to use those, specifically surrounding the web console and the fact that it's API integrated.

We have stability in our environment because of the product. We can keep adding solutions to the mixture and it still performs as is, which is again a more stable process.

It provides scalability.

I usually deal with level three support and they're pretty awesome; so, they're very good. I rate them 5/5.

There was not a previous solution. I know because of experience with my other jobs that this is a more robust technology to invest in.

Setup was straightforward. I had experience from my previous work, so I was able to bring that experience and implement it here. I was fully versed with it, so it was easier for me.

It's super expensive, so ask them if they can consolidate some other licensing costs. But, IBM is IBM, so I guess we'll pay for it.

IBM was on the top of our short list. I didn't even look at the others, because I am biased.

I would do a PoC with IBM and there's a lot of technical help out there and people who would come to help you. So, use them and also look for other customers who have used the product. Then, you will be able to see the benefits of it and try to fit it in to your department.

For 90 percent of our applications, we are using IBM MQ for a point-to-point setup, from one application to another application. It is like a passage between them. For the other 10 percent of our applications, we are using topic subscriptions.

It's deployed on-premises. We have tried it on Docker Containers as well, where we have an instance. We haven't done a cluster setup using Docker and Kubernetes. 

It is very stable. We haven't seen any failures.

You should be able to increase the message size. It should be dynamic. Each queue has a limitation of 5,000. Also, the maximum message length defaults to 4 MB. If it is more than that it should be able to increase and allow whatever the particular size of the message is into the queue.

In terms of additional features, I would like to see it be lightweight and go to the cloud easily, and dynamic scaling should be added.

I have been using IBM MQ for the last five years at my current company but I also used it in different agencies, so overall I have used it for about seven years.

It is scalable but we have to do it manually. There is no automation for scaling it.

Support is very good. It is very fast. If an issue is Priority 1 they will respond very quickly and call you.

It is pretty easy to set up. The installation takes less than five minutes for each server. People can learn IBM MQ in one week.

Even a version upgrade can be done easily. Including doing backups and installation, it can be completed in 10 to 15 minutes. Even RabbitMQ and Kafka require more steps for setup than IBM MQ. Installation of the IBM product is very simple. 

For individual projects, IBM MQ may cost more. Here, we are using it globally. It is distributed around the world for our operations, so cost-wise it is less for us. But if you go with individual licenses, the cost of IBM is much more.

We are also slowly moving forward into using Kafka.

We calculated the costs for our total environment of going with RabbitMQ, and if we went with priority support for RabbitMQ versus the cost of IBM MQ, there was almost no difference in the costs. Unless we went fully open-source, we would not save anything with RabbitMQ.

My advice to someone who is looking into using IBM MQ would depend on their budget, the application criticality, etc. If applications are less critical, you can go with open-source products. 

Apache Kafka is growing quickly. People are using it on almost every project. The future will be Apache Kafka only and there might be some RabbitMQ use as well. But I see that Kafka is gaining the most. IBM MQ won’t support large streams of data but Kafka will support large streams of data. For example, for Big Data projects, will only go with Kafka.