IBM MQ and VMware Tanzu Data Solutions are competing in the enterprise data integration and messaging space, leveraging both stability and performance features. VMware Tanzu appears to have the edge due to its advanced analytics and machine learning support.
Features: IBM MQ offers stability, guaranteed message delivery, and scalability that ensure data integrity and reliability. Its integration capabilities across various platforms are also highly valued. VMware Tanzu Data Solutions is notable for high parallel processing capabilities, advanced analytics, and seamless machine learning integration, making it attractive to data-centric enterprises.
Room for Improvement: IBM MQ could benefit from enhanced integration with modern cloud platforms and a more user-friendly interface for management. VMware Tanzu Data Solutions could improve its support for cloud-native environments and develop more intuitive monitoring and management tools.
Ease of Deployment and Customer Service: IBM MQ is recognized for its straightforward deployment in on-premises and private cloud settings, offering steady, albeit slower, support services. VMware Tanzu Data Solutions is praised for its hybrid and cloud deployment flexibility, but users would prefer more immediate support solutions.
Pricing and ROI: IBM MQ's licensing costs deter smaller businesses despite offering solid reliability and features that yield significant ROI for larger organizations. VMware Tanzu Data Solutions takes advantage of its open-source basis, providing a cost-effective approach for data-heavy operations, although enterprise support is an extra expense.
It's a product which integrates the external systems with internal systems or among the systems themselves, making it an essential technology component required to integrate multiple systems.
We cannot hold on to the project for a long time just to wait for IBM to fix the issues.
The response time for IBM MQ support could be better because when we are using IBM MQ and something goes wrong, support is required as the resource availability of the IBM product is very limited.
With containerized flavors of these products, we are having a tough time dealing with PMRs because the versions are new to IBM.
IBM MQ handles many thousands of messages in a second, indicating good scalability.
In our environment, we do not have horizontal scaling for IBM MQ, but as demand increases, we would just vertically scale it.
Performance-wise, it is scalable, and other features such as DR, DC, replication, and active passive mode are complex to configure, but it remains scalable.
Most of our functions or jobs are queued due to that.
We have never had any downtime or crashes since it's been running.
The transaction is always guaranteed with IBM MQ, which is the main reason I have been working with it for fifteen years while dealing with financial transactions or messages.
I have faced stability issues, mainly due to the storage my organization has, though I am not sure if it's specifically due to the tool.
Having a graphical user interface would improve usability.
The pricing model for IBM MQ could be more flexible for clients.
They don't meet our standards due to the timing to get a person with knowledge.
It's possible to get some training, but the cost of this learning is expensive.
The price of IBM MQ is definitely on the higher side.
I am not exactly sure about the licensing cost compared to similar products, but I assume it is affordable since we continue to use it, and it is also used by our customers.
These are financial transactions, so we do not want to lose the message at any cost.
There is a saying that for the last 30 years IBM MQ has never been hacked.
It's time-tested, very stable, highly resilient, and has all the features to troubleshoot even if something goes wrong.
The product is not complex; I do not have to create stored procedures, functions, or views.
IBM MQ is a middleware product used to send or exchange messages across multiple platforms, including applications, systems, files, and services via MQs (messaging queues). This solution helps simplify the creation of business applications, and also makes them easier to maintain. IBM MQ is security-rich, has high performance, and provides a universal messaging backbone with robust connectivity. In addition, it also integrates easily with existing IT assets by using an SOA (service oriented architecture).
IBM MQ can be deployed:
IBM MQ supports the following APIs:
IBM MQ Features
Some of the most powerful IBM MQ features include:
IBM MQ Benefits
Some of the benefits of using IBM MQ include:
Reviews from Real Users
Below are some reviews and helpful feedback written by IBM MQ users who are currently using the solution.
PeerSpot user Sunil S., a manager at a financial services firm, explains that they never lose messages are never lost in transit, mentioning that he can store messages and forward them as required: "Whenever payments are happening, such as incoming payments to the bank, we need to notify the customer. With MQ we can actually do that asynchronously. We don't want to notify the customer for each and every payment but, rather, more like once a day. That kind of thing can be enabled with the help of MQ."
Another PeerSpot reviewer, Luis L. who is a solutions director at Thesys Technologies, says that IBM MQ is a valuable solution and is "A stable and reliable software that offers good integration between different systems."
The head of operations at a financial services firm notes that "I have found the solution to be very robust. It has a strong reputation, is easy to use, simple to configure in our enterprise software, and supports all the protocols that we use."
In addition, a Software Engineer at a financial services firm praises the security benefits of it and states that “it has the most security features I've seen in a communication solution. Security is the most important thing for our purposes."
VMware Tanzu is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.
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