Compare Apache Kafka vs. IBM MQ

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23,763 views|16,141 comparisons
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30,258 views|22,252 comparisons
Most Helpful Review
Find out what your peers are saying about Apache Kafka vs. IBM MQ and other solutions. Updated: January 2021.
454,950 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"It's very easy to keep to install and it's pretty stable.""Kafka provides us with a way to store the data used for analytics. That's the big selling point. There's very good log management.""The most valuable feature is that it can handle high volume.""Scalability is very good.""It's an open-source product, which means it doesn't cost us anything to use it.""The most valuable feature is the performance.""The most important feature for me is the guaranteed delivery of messages from producers to consumers.""We get amazing throughput. We don't get any delay."

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"The most valuable features are the point to point messaging and the MQ API.""The high availability and session recovery are the most valuable features because we need the solution live all day.""It is stable, reliable, and scalable.""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.""It's highly scalable. It provides various ways to establish high availability and workloads. E.g., you can spread workloads inside of your clusters.""IBM MQ is the right choice because of the stability and the performance. And from the support perspective, it's enough to have a really small team.""The MQ protocol is widely used across multiple applications and it's so simple for connectivity.""What is quite useful is the asynchronous function which means we don't lose everything in the bank. Although we use a lot of things synchronously, asynch is the best thing so that no banking information is ever lost, even when the network goes down and comes up."

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Cons
"The third party is not very stable and sometimes you have problems with this component. There are some developments in newer versions and we're about to try them out, but I'm not sure if it closes the gap.""If the graphical user interface was easier for the Kafka administration it would be much better. Right now, you need to use the program with the command-line interface. If the graphical user interface was easier, it could be a better product.""Kafka does not provide control over the message queue, so we do not know whether we are experiencing lost or duplicate messages.""In the next release, I would like for there to be some authorization and HTL security.""The UI is based on command line. It would be helpful if they could come up with a simpler user interface.""Kafka is complex and there is a little bit of a learning curve.""More adapters for connecting to different systems need to be available.""The manageability should be improved. There are lots of things we need to manage and it should have a function that enables us to manage them all cohesively."

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"I would like to see faster monitoring tools for this solution.""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.""I would like to see it integrate with the newer ways of messaging, such as Kafka. They might say that you have IBM Integration Bus to do that stuff, but it would be great if MQ could, out-of-the-box, listen to public Kafka.""They could integrate monitoring into the solution, a bit more than they do now. Currently, they have opened the REST API so you can get statistic and accounting information and details from MQ and build your own monitoring, if you want. IBM can improve the solution in this direction.""What could be improved is the high-availability. The way MQ works is that it separates the high-availability from the workload balance. The scalability should be easier. If something happens so that the messages are not available on each node, scalability is only possible for the workload balance.""The scalability is the one area where IBM has fallen behind. As much as it is used, there is a limit to the number of people who are skilled in MQ. That is definitely an issue. Places have kept their MQ-skilled people and other places have really struggled to get MQ skills. It's not a widely-known skillset.""In terms of volume, it is not able to handle a huge volume. We also have limitations of queues related to IBM MQ. We often need to handle a very big volume, but currently we do have limitations. If those kinds of limitations could be relaxed, it would help us to work better.""You should be able to increase the message size. It should be dynamic. Each queue has a limitation of 5,000."

More IBM MQ Cons »

Pricing and Cost Advice
"Apache Kafka is open-source and can be used free of charge.""Kafka is open-source and it is cheaper than any other product.""Kafka is more reasonably priced than IBM MQ.""The solution is open source; it's free to use.""Apache Kafka is an open-source solution and there are no fees, but there are fees associated with confluence, which are based on subscription."

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"The price is high.""There is a different platform price between Windows, z/OS, and iSeries.""IBM products, in general, have high licensing costs and support costs are too high.""Most of our customers are quite happy with the solution but they have an issue with the cost. They want to move to cheaper solutions.""It is a very expensive product compared to the open source products in the market.""It would be a 10 out of 10 if it wasn't so expensive.""It's a very expensive product.""IBM MQ is expensive and they charge based on the CPU."

More IBM MQ Pricing and Cost Advice »

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Questions from the Community
Top Answer: Depends upon the technologies being used. If you're using Oracle for both OLTP and OLAP then you'll get a lot of value from an Oracle solution. The other question is how up to date do you want your… more »
Top Answer: Hi As someone with 45+ years of experience in the Transaction and Message Processing world, I have seen many "MQ" solutions that have come into the market place. From my perspective, while each… more »
Top Answer: The most valuable feature is the stability. It's perfect in this way.
Ranking
Views
23,763
Comparisons
16,141
Reviews
13
Average Words per Review
482
Rating
7.8
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30,258
Comparisons
22,252
Reviews
28
Average Words per Review
539
Rating
8.3
Popular Comparisons
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Also Known As
WebSphere MQ
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Apache
IBM
Overview

Apache Kafka is a distributed streaming platform, with the following capabilities:

  • It lets you publish and subscribe to streams of records. In this respect it is similar to a message queue or enterprise messaging system.
  • It lets you store streams of records in a fault-tolerant way.
  • It lets you process streams of records as they occur.

Apache Kafka gets used for two broad classes of application:

  • Building real-time streaming data pipelines that reliably get data between systems or applications.
  • Building real-time streaming applications that transform or react to the streams of data.

    IBM MQ provides the universal messaging backbone for service-oriented architecture (SOA) connectivity. It connects virtually any commercial IT system, whether on premise, in the cloud, or a mixture. For more than 20 years IBM has led the market in messaging middleware and more than 10,000 businesses across all geographies and industries rely on IBM MQ.

    Visit for your trial here.

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Sample Customers
Uber, Netflix, Activision, Spotify, Slack, PinterestDeutsche Bahn, Bon-Ton, WestJet, ARBURG, Northern Territory Government, Tata Steel Europe, Sharp Corporation
Top Industries
REVIEWERS
Manufacturing Company23%
Retailer15%
Financial Services Firm15%
Computer Software Company15%
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider17%
Financial Services Firm11%
Media Company5%
REVIEWERS
Financial Services Firm36%
Retailer13%
Insurance Company12%
Transportation Company7%
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider15%
Financial Services Firm13%
Media Company6%
Company Size
REVIEWERS
Small Business30%
Midsize Enterprise8%
Large Enterprise62%
REVIEWERS
Small Business5%
Midsize Enterprise9%
Large Enterprise85%
VISITORS READING REVIEWS
Small Business6%
Midsize Enterprise5%
Large Enterprise89%
Find out what your peers are saying about Apache Kafka vs. IBM MQ and other solutions. Updated: January 2021.
454,950 professionals have used our research since 2012.

Apache Kafka is ranked 2nd in Message Queue (MQ) Software with 13 reviews while IBM MQ is ranked 1st in Message Queue (MQ) Software with 30 reviews. Apache Kafka is rated 7.8, while IBM MQ is rated 8.2. The top reviewer of Apache Kafka writes "Open source, granular message retention options, and good third party support". On the other hand, the top reviewer of IBM MQ writes "We don't lose messages in transit and we can store messages and forward them when required". Apache Kafka is most compared with ActiveMQ, PubSub+ Event Broker, VMware RabbitMQ, Amazon SQS and Red Hat AMQ, whereas IBM MQ is most compared with VMware RabbitMQ, ActiveMQ, PubSub+ Event Broker, Anypoint MQ and TIBCO Enterprise Message Service. See our Apache Kafka vs. IBM MQ report.

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We monitor all Message Queue (MQ) Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.