Compare Apache Kafka vs. IBM MQ

Apache Kafka is ranked 3rd in Message Queue (MQ) Software with 3 reviews while IBM MQ is ranked 1st in Message Queue (MQ) Software with 10 reviews. Apache Kafka is rated 8.6, while IBM MQ is rated 9.0. The top reviewer of Apache Kafka writes "Its publisher-subscriber pattern has allowed our applications to access and consume data in real time". On the other hand, the top reviewer of IBM MQ writes "Helps integrate between applications, reduce rework, by reusing existing components". Apache Kafka is most compared with IBM MQ, ActiveMQ and Solace PubSub+, whereas IBM MQ is most compared with RabbitMQ, ActiveMQ and Apache Kafka. See our Apache Kafka vs. IBM MQ report.
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Apache Kafka Logo
25,234 views|16,082 comparisons
IBM MQ Logo
32,750 views|24,214 comparisons
Most Helpful Review
Find out what your peers are saying about Apache Kafka vs. IBM MQ and other solutions. Updated: September 2019.
366,090 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 eases our current data flow and framework.I like the performance and reliability of Kafka. I needed a data streaming buffer that could handle thousands of messages per second with at least one processing point for an analytics pipeline. Kafka fits this requirement very well.

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The most valuable features are the point to point messaging and the MQ API.It improves reliability and guarantees that messages are not lost.Reliable integration between MQ servers is the most valuable feature.Data integrity, reliability and security are valuable features that IBM MQ possesses.There is no dependency on the end party service's run status.We use queue managers/concentrators for message flow going upstream and downstream on applications with enterprise licenses.It runs everywhere, from the mainframe in the US to the PCs in the Gobi desert attached to an analog modem.Has helped integrate between applications, reduce rework, and costs by reusing working components of existing applications.

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Cons
Kafka 2.0 has been released for over a month, and I wanted to try out the new features. However, the configuration is a little bit complicated: Kafka Broker, Kafka Manager, ZooKeeper Servers, etc.As an open-source project, Kafka is still fairly young and has not yet built out the stability and features that other open-source projects have acquired over the many years. If done correctly, Kafka can also take over the stream-processing space that technologies such as Apache Storm cover.

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I would like to see faster monitoring tools for this solution.I believe there is too much code to be done in order to handle the elements that you develop.I believe the stability of the product has decreased since we began using it initially.MQ needs instruments for connection with new modern queues like Kafka or RabbitMQ.SonicMQ CAA (continuous availability architecture) functionality on auto failover and data persistence should be made available without a shared drive, as it exists in multi-instance queue managers.It could get a face lift with a modern marketing campaign.the level of training as well as product marketing for this product are not that great. You rarely find a good training institute that provides training. Many of the architects in several organization are neither aware of the product nor interested in using it. IBM should provide good training on products like this.It needs a User Interface which is better than the aging MQ Explorer. The existing solution MQ Explorer is outdated.

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Pricing and Cost Advice
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To implement such an IBM solution, a company has to pay a lot in term of licensing and consultancy. A pricing model might be a better option.In terms of cost, IBM MQ is slightly on the higher side.IBM MQ appliance has pricing options, but they are costly.99.999 percent availability for less than a penny per message over the past 25 years. IBM MQ is the cheapest software in the IBM software portfolio, and it is one of the best.Pricing could be better, as with all IBM products. But their performance in production, along with security and scalability, will pay returns in the long run.I think the pricing is reasonable, especially with IIB as a part of it.

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report
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Ranking
Views
25,234
Comparisons
16,082
Reviews
3
Average Words per Review
299
Avg. Rating
8.7
Views
32,750
Comparisons
24,214
Reviews
10
Average Words per Review
227
Avg. Rating
9.0
Top Comparisons
Compared 30% of the time.
Compared 26% of the time.
Compared 18% of the time.
Compared 37% of the time.
Compared 29% of the time.
Compared 19% of the time.
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.

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Sample Customers
Information Not Available
Deutsche Bahn, Bon-Ton, WestJet, ARBURG, Northern Territory Government, Tata Steel Europe, Sharp Corporation
Top Industries
REVIEWERS
Retailer25%
Media Company13%
Marketing Services Firm13%
Logistics Company13%
VISITORS READING REVIEWS
Financial Services Firm33%
Software R&D Company18%
Retailer9%
Comms Service Provider5%
REVIEWERS
Financial Services Firm30%
Insurance Company15%
Retailer14%
Healthcare Company8%
VISITORS READING REVIEWS
Financial Services Firm23%
Software R&D Company16%
Retailer10%
Insurance Company9%
Company Size
REVIEWERS
Small Business27%
Midsize Enterprise9%
Large Enterprise64%
REVIEWERS
Small Business2%
Midsize Enterprise10%
Large Enterprise88%
VISITORS READING REVIEWS
Small Business12%
Midsize Enterprise2%
Large Enterprise86%
Find out what your peers are saying about Apache Kafka vs. IBM MQ and other solutions. Updated: September 2019.
366,090 professionals have used our research since 2012.
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.
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