Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. The Kafka event streaming platform is used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
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IBM MQ
Score 9.1 out of 10
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IBM MQ (formerly WebSphere MQ and MQSeries) is messaging middleware.
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Postman
Score 8.8 out of 10
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Postman, headquartered in San Francisco, offers their flagship API development and management free to small teams and independent developers. Higher tiers (Postman Pro and Postman Enterprise) support API management, as well as team collaboration, extended support and other advanced features.
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Pricing
Apache Kafka
IBM MQ
Postman
Editions & Modules
No answers on this topic
No answers on this topic
Postman Free Plan
$0.00 US Dollars
Postman Basic Plan
$12 US Dollars
per month per user
Postman Professional Plan
$29 US Dollars
per month per user
Postman Enterprise Plan
$99 US Dollars
per month per user
Offerings
Pricing Offerings
Apache Kafka
IBM MQ
Postman
Free Trial
No
Yes
No
Free/Freemium Version
No
Yes
Yes
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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1. Postman Free plan: Start designing, developing, and testing APIs at no cost for teams of up to three people.
2. Postman Basic plan: Collaborate with your team to design, develop, and test APIs faster; $12/month per user, billed annually
3. Postman Professional plan: Centrally manage the entire API workflow; $29/month per user, billed annually
4. Postman Enterprise plan: Securely manage, organize, and accelerate API-first development at scale; $99/month per user, billed annually
More Pricing Information
Community Pulse
Apache Kafka
IBM MQ
Postman
Considered Multiple Products
Apache Kafka
Verified User
Analyst
Chose Apache Kafka
Confluent Cloud is still based on Apache Kafka but it has a subscription fee so, from a long term perspective, it is wiser to deploy your own Kafka instance that spans public and private cloud. Amazon Kinesis, Google Cloud Pub/Sub do not do well for a very number of messages …
Kafka is faster and more scalable, also "free" as opensource (albeit we deploy using a commercial distribution). Infrastructure tends to be cheaper. On the other hand, projects must adapt to Kafka APIs that sometimes change and BAU increases until a major 1.x version comes out …
Apache Kafka may be a better option in comparison with IBM MQ its real-time data streaming and large data payload service. It depends upon the specific requirement and meets those needs. MuleSoft any point platform is very easy to connect to various other types of platforms in …
I've also used Apache Kafka and RabbitMQ. Compared to these, IBM MQ offers superior reliability and transactional integrity, making it a better choice for complex, mission-critical enterprise environments where message delivery and security are paramount. We chose IBM MQ for …
Kafka is renowned for its impressive throughput, fault tolerance, and real-time data streaming capabilities. Nonetheless, IBM MQ remains the preferred choice due to its unwavering commitment to guaranteed delivery and exceptional reliability. Fault-Tolerant Architectures of IBM …
We found IBM MQ very easy to get started and quick to learn by the new users with a short learning curve and seamlessly integrates with IBM products, and quick to perform self-service analytics and make informed business decisions. IBM MQ is also very straightforward in …
IBM MQ is very stable and a proven product compared to other Messaging platforms available. Performance was better than WSO2 product and also the RabbitMQ. Though Kafka and IBM MQ is not directly comparable, Kafka is more suited for event based systems and also where there is …
Apache Kafka is well-suited for most data-streaming use cases. Amazon Kinesis and Azure EventHubs, unless you have a specific use case where using those cloud PaAS for your data lakes, once set up well, Apache Kafka will take care of everything else in the background. Azure EventHubs, is good for cross-cloud use cases, and Amazon Kinesis - I have no real-world experience. But I believe it is the same.
In the context of Internet of Things (IoT) applications, IBM MQ plays a pivotal role in managing the substantial data streams emanating from interconnected devices. Its primary function is to guarantee the dependable transmission and processing of data, catering to a diverse range of IoT use cases, including but not limited to smart city initiatives, healthcare monitoring systems, and industrial automation solutions. In the telecommunications sector, IBM MQ is employed for message routing, call detail record (CDR) processing, and network management to ensure real-time data exchange and fault tolerance. When managing the supply chain and logistics, IBM MQ is used to ensure timely and accurate communication between different entities, including suppliers, warehouses, and transportation providers. IBM MQ can be cost-prohibitive for smaller organizations due to licensing and maintenance costs. In such cases, open-source or lightweight messaging solutions may be more appropriate. For scenarios requiring extremely low-latency, real-time data exchange, and high throughput, other messaging technologies, like Apache Kafka, may be more suitable due to their specialized design for such use cases.
Postman is good for organising your API credentials, vendor settings, environments etc. It's also a good way of getting stared with APIs as you get to use a GUI which can help you understand what we mean by a 'body' or 'bearer token'. I think people generally gravitate towards GUI tools for getting started in a new technology area.
Really easy to configure. I've used other message brokers such as RabbitMQ and compared to them, Kafka's configurations are very easy to understand and tweak.
Very scalable: easily configured to run on multiple nodes allowing for ease of parallelism (assuming your queues/topics don't have to be consumed in the exact same order the messages were delivered)
Not exactly a feature, but I trust Kafka will be around for at least another decade because active development has continued to be strong and there's a lot of financial backing from Confluent and LinkedIn, and probably many other companies who are using it (which, anecdotally, is many).
The documentation is very clear,It is understandable and the support helps to configure it in the best way.
Server guidelines make it possible to get the most out of work management. It's broad, we can work with different operating systems, I really recommend using linux.
It is highly compatible with systems, brockers, applications, and data accumulation programs, it is possible to configure everything so that after the installation of programs, they can communicate with each other and then throw data to an external program that accumulates it and represents in clear details of steps to follow and make business decisions.
It has opened a door for me to explore more out of it, as it is associated with so many APIs that I never felt any difficulty in finding the right API template, which are well organized and easily available.
It is very secure to use and provides great services which are user-friendly.
Due to this software I have got rid of the excessive emails and the slack channels, Now I am using my own private API and even it give me an option to produce my personal Postman’s API Builder from its Private API Network and this features has shared my excessive workload.
Sometimes it becomes difficult to monitor our Kafka deployments. We've been able to overcome it largely using AWS MSK, a managed service for Apache Kafka, but a separate monitoring dashboard would have been great.
Simplify the process for local deployment of Kafka and provide a user interface to get visibility into the different topics and the messages being processed.
Learning curve around creation of broker and topics could be simplified
There is limitation on number of svrconn connections you can have to MQ on the mainframe which has been an major issue for us. This has been an issue for us for over 4 years and still no fix although I am aware IBM have been working on a solution over the last year.
When upgrading to MQ V9.3 on our MQ appliances there is no fall-back option. This was the same for MQ V9.2 upgrade from MQ V9.0. For production upgrades this I believe is not acceptable.
AMS is not supplied as part of the standard mainframe MQ licence. You need an extra licence. IBM tell customers how important security and protecting data is yet they still want to charge for this software. The cost of MQ on the mainframe is not cheap so I would expect AMS to be part of the base product.
Apache Kafka is highly recommended to develop loosely coupled, real-time processing applications. Also, Apache Kafka provides property based configuration. Producer, Consumer and broker contain their own separate property file
I give it a nine because it has significantly improved my team's data reliability and operational efficiency. Its great security features give us peace of mind, knowing our sensitive data is well protected. While the setup might initially be complex, I believe the long-term benefits far outweigh this hurdle.
1. Friendly user friendly - when I started using Postman, I was a beginner to the API world, and it gave me a friendly view to begin its usage 2. Postman offers many features, including API testing, monitoring, documentation, and mock servers 3. Environment variables simplify testing across multiple environments (dev, prod) without repetitive configuration.
The messages are delivered instantly with this software and it integrates with our technology stack, in terms of availability we only had one failure when we were doing some testing and integration with third parties, the features of this software make it always available and its deployment is easy for the company, it does not generate expenses due to failures
Support for Apache Kafka (if willing to pay) is available from Confluent that includes the same time that created Kafka at Linkedin so they know this software in and out. Moreover, Apache Kafka is well known and best practices documents and deployment scenarios are easily available for download. For example, from eBay, Linkedin, Uber, and NYTimes.
There are very specific things that must be elevated to more specialized areas of support, but the common support is very agile when receiving questions or when we leave concerns in real time. I recommend the support of the program in this regard.
There is a lot of in-depth documentation for Postman available online, including detailed guides with screenshots and videos. They provide example APIs for new users to explore while learning how to use the tool. Generally, bugs in the client are quickly addressed through frequent free updates. Community and professional support options are available - most of the time, the free/community level support is adequate
I used other messaging/queue solutions that are a lot more basic than Confluent Kafka, as well as another solution that is no longer in the market called Xively, which was bought and "buried" by Google. In comparison, these solutions offer way fewer functionalities and respond to other needs.
We found IBM MQ very easy to get started and quick to learn by the new users with a short learning curve and seamlessly integrates with IBM products, and quick to perform self-service analytics and make informed business decisions. IBM MQ is also very straightforward in creating simple and best reports, which are very profitable and productive.
Previous to using Postman, I would either use browser tools directly, or write an in-house tool to send requests. Postman eliminates that need while providing a much better experience and more features. At the base level, Postman is as simple as typing in the address as you would in a browser. Authentication can be provided simply as well.
Positive: Get a quick and reliable pub/sub model implemented - data across components flows easily.
Positive: it's scalable so we can develop small and scale for real-world scenarios
Negative: it's easy to get into a confusing situation if you are not experienced yet or something strange has happened (rare, but it does). Troubleshooting such situations can take time and effort.
Postman is free (although there's a paid tier that offers more features) so using it for testing APIs comes with little to no risk (besides learning curve).
The learning curve is a little steep for non-developer users, but developers should find it easy to pick up and use right out of the box, so to speak.
