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Apache Kafka vs Red Hat AMQ comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Apache Kafka and Red Hat AMQ based on real PeerSpot user reviews.

Find out in this report how the two Message Queue (MQ) Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Apache Kafka vs. Red Hat AMQ report (Updated: August 2022).
634,550 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable feature is the documentation, which is good and clear.""The most valuable features are the stream API, consumer groups, and the way that the scaling takes place.""Apache Kafka has good integration capabilities and has plenty of adapters in its ecosystem if you want to build something. There are adapters for many platforms, such as Java, Azure, and Microsoft's ecosystem. Other solutions, such as Pulsar have fewer adapters available.""The main advantage is increased reliability, particularly with regard to data and the speed with which messages are published to the other side.""With Kafka, events and streaming are persistent, and multiple subscribers can consume the data. This is an advantage of Kafka compared to simple queue-based solutions.""All the features of Apache Kafka are valuable, I cannot single out one feature.""Kafka is an open-source tool that's easy to use in our country, and the command line interface is powerful.""Its availability is brilliant."

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"The solution is very lightweight, easy to configure, simple to manage, and robust since it launched.""The most valuable feature for us is the operator-based automation that is provided by Streams for infrastructure as well as user and topic management. This saves a lot of time and effort on our part to provide infrastructure. For example, the deployment of infrastructure is reduced from approximately a week to a day.""This product is well adopted on the OpenShift platform. For organizations like ours that use OpenShift for many of our products, this is a good feature."

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Cons
"Pulsar gives more scalability to an even grouping, but Apache Kafka is used more if you want to send something in a time series-based. If this does not matter to you then Pulsar could be more customizable. Apache Kafka is nothing but a streaming system with local storage.""The solution can improve by having automation for developers. We have done many manual calculations and it has been difficult but if it was automated it would be much better.""Something that could be improved is having an interface to monitor the consuming rate.""Prioritization of messages in Apache Kafka could improve.""The support on Apache Kafka could be improved.""One of the things I am mostly looking for is that once the message is picked up from Kafka, it should not be visible or able to be consumed by other applications, or something along those lines. That feature is not present, but it is not a limitation or anything of the sort; rather, it is a desirable feature. The next release should include a feature that prevents messages from being consumed by other applications once they are picked up by Kafka.""would like to see real-time event-based consumption of messages rather than the traditional way through a loop. The traditional messaging system works by listing and looping with a small wait to check to see what the messages are. A push system is where you have something that is ready to receive a message and when the message comes in and hits the partition, it goes straight to the consumer versus the consumer having to pull. I believe this consumer approach is something they are working on and may come in an upcoming release. However, that is message consumption versus message listening.""The repository isn't working very well. It's not user friendly."

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"This product needs better visualization capabilities in general.""There are some aspects of the monitoring that could be improved on. There is a tool that is somewhat connected to Kafka called Service Registry. This is a product by Red Hat that I would like to see integrated more tightly.""There is improvement needed to keep the support libraries updated."

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Pricing and Cost Advice
  • "The solution is free, it is open-source."
  • "Apache Kafka is free."
  • "The price for the enterprise version is quite high. For on-premise, there is an annual fee, which starts at 60,000 euros, but it is usually higher than 100,000 euros. The cost for a project including the subscription is usually between 100,000 to 200,000 euros. The cost also depends on the level of support. There are two different levels of support."
  • "We use the free version."
  • "This is an open-source version."
  • "It's a bit cheaper compared to other Q applications."
  • "Apache Kafka is an open-sourced solution. There are fees if you want the support, and I would recommend it for enterprises. There are annual subscriptions available."
  • "We are using the free version of Apache Kafka."
  • More Apache Kafka Pricing and Cost Advice →

  • "There is a subscription needed for this solution and there are support plans available."
  • "This is a very cost-effective solution and the pricing is much better than competitors."
  • More Red Hat AMQ Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Apache Kafka is open source and can be used for free. It has very good log management and has a way to store the data used for analytics. Apache Kafka is very good if you have a high number of users… more »
    Top Answer:What is the OLAP that you are using? Hosted in Cloud or on-premise?  The target DB should have its tool to extract data.
    Top Answer:The most valuable feature of Apache Kafka is the clustering which is very easy to scale and we have multiple servers all over our platforms. It has been useful for stability and performance.
    Top Answer:This product is well adopted on the OpenShift platform. For organizations like ours that use OpenShift for many of our products, this is a good feature.
    Top Answer:This is a very cost-effective solution and the pricing is much better than competitors. The licensing structure is a good one, although it should be easier to understand.
    Top Answer:This product needs better visualization capabilities in general. The toolset should be improved to better support developer productivity. This is a point that would be greatly appreciated. They're… more »
    Ranking
    Views
    19,541
    Comparisons
    15,661
    Reviews
    22
    Average Words per Review
    417
    Rating
    7.8
    Views
    5,138
    Comparisons
    3,903
    Reviews
    3
    Average Words per Review
    999
    Rating
    8.7
    Comparisons
    Also Known As
    Red Hat JBoss A-MQ, Red Hat JBoss AMQ
    Learn More
    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.

    To respond to business demands quickly and efficiently, you need a way to integrate the applications and data spread across your enterprise. Red Hat JBoss A-MQ—based on the Apache ActiveMQ open source project—is a flexible, high-performance messaging platform that delivers information reliably, enabling real-time integration and connecting the Internet of Things (IoT).

    Offer
    Learn more about Apache Kafka
    Learn more about Red Hat AMQ
    Sample Customers
    Uber, Netflix, Activision, Spotify, Slack, Pinterest
    E*TRADE, CERN, CenturyLink, AECOM, Sabre Holdings
    Top Industries
    REVIEWERS
    Computer Software Company23%
    Retailer15%
    Financial Services Firm15%
    Manufacturing Company12%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company17%
    Comms Service Provider12%
    Government5%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm19%
    Comms Service Provider12%
    Government10%
    Company Size
    REVIEWERS
    Small Business35%
    Midsize Enterprise10%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise10%
    Large Enterprise77%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise14%
    Large Enterprise75%
    Buyer's Guide
    Apache Kafka vs. Red Hat AMQ
    August 2022
    Find out what your peers are saying about Apache Kafka vs. Red Hat AMQ and other solutions. Updated: August 2022.
    634,550 professionals have used our research since 2012.

    Apache Kafka is ranked 2nd in Message Queue (MQ) Software with 24 reviews while Red Hat AMQ is ranked 7th in Message Queue (MQ) Software with 3 reviews. Apache Kafka is rated 8.0, while Red Hat AMQ is rated 8.6. The top reviewer of Apache Kafka writes "Good partition tolerance, message reliability, and API integration ". On the other hand, the top reviewer of Red Hat AMQ writes "Flexible, cost-effective, good compatibility with the OpenShift platform, effective and timely support". Apache Kafka is most compared with IBM MQ, Amazon SQS, ActiveMQ, PubSub+ Event Broker and IBM Event Streams, whereas Red Hat AMQ is most compared with ActiveMQ, VMware RabbitMQ, IBM MQ, IBM Event Streams and Amazon SQS. See our Apache Kafka vs. Red Hat AMQ report.

    See our list of best Message Queue (MQ) Software vendors.

    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.