Apache Kafka vs Red Hat JBoss A-MQ for xPaaS comparison

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14,664 views|11,146 comparisons
95% willing to recommend
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124 views|106 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Apache Kafka and Red Hat JBoss A-MQ for xPaaS based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, IBM, Amazon Web Services (AWS) and others in Message Queue (MQ) Software.
To learn more, read our detailed Message Queue (MQ) Software Report (Updated: April 2024).
769,599 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 open-source version is relatively straightforward to set up and only takes a few minutes.""Apache Kafka is actually a distributed commit log. That is different than most messaging and queuing systems before it.""The most valuable feature of Apache Kafka is its versatility. It can solve many use cases or can be a part of many use cases. Its fundamental value of it is in the real-time processing capability.""All the features of Apache Kafka are valuable, I cannot single out one feature.""Ease of use.""Kafka is an open-source tool that's easy to use in our country, and the command line interface is powerful.""The use of Kafka's logging mechanism has been extremely beneficial for us, as it allows us to sequence messages, track pointers, and manage memory without having to create multiple copies.""The stability is very nice. We currently manage 50 million events daily."

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"JBoss is easy to use, and we have a good partner here in Tunisia to provide local support."

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Cons
"We cannot apply all of our security requirements because it is hard to upload them.""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.""An area for improvement would be growth.""Kafka has a lot of monitors, but sometimes it's most important to just have a simple monitor.""Maintaining and configuring Apache Kafka can be challenging, especially when you want to fine-tune its behavior.""There is a lot of information available for the solution and it can be overwhelming to sort through.""Apache Kafka could improve data loss and compatibility with Spark.""Apache Kafka can improve by adding a feature out of the box which allows it to deliver only one message."

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"JBoss could add more automation."

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Pricing and Cost Advice
  • "I would not subscribe to the Confluent platform, but rather stay on the free open source version. The extra cost wasn't justified."
  • "When starting to look at a distributed message system, look for a cloud solution first. It is an easier entry point than an on-premises hardware solution."
  • "It is open source software."
  • "Licensing issues are not applicable. Apache licensing makes it simple with almost zero cost for the software itself."
  • "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."
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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:Apache Kafka is an open-source solution that can be used for messaging or event processing.
    Top Answer:JBoss is easy to use, and we have a good partner here in Tunisia to provide local support.
    Top Answer:JBoss could add more automation.
    Top Answer:We have an application-presentation layer, and we use JBoss to communicate with the application layer. The interceptors use Active MQ.
    Ranking
    Views
    14,664
    Comparisons
    11,146
    Reviews
    32
    Average Words per Review
    553
    Rating
    8.1
    Views
    124
    Comparisons
    106
    Reviews
    1
    Average Words per Review
    172
    Rating
    8.0
    Comparisons
    Learn More
    Overview

    Apache Kafka is a highly regarded open-source, distributed event streaming platform and Message Queue (MQ) software solution that is valued and trusted worldwide by many of the top fortune 100 companies. It is considered one of the most reliable Message Queue (MQ) software solutions available in the marketplace today.

    Enterprise organizations rely on streaming platforms and MQ software solutions to process the continuous flow of high-performance data pipelines, mission-critical applications, and data integration. Apache Kafka makes it easy to process and distribute messages from one application to another from multiple environments with super-fast speeds and very high reliability.

    Additionally, in place of the usual command line processes regarding administration and management tasks, Apache Kafka supplies five exemplary core APIs for both Scala and Java:

    • Kafka Streams API can be used to facilitate stream processing applications and microservices. Input is seamlessly read from one or more topics and will initiate output to one or more topics, easily converting the input streams to output streams.
    • Kafka Connect API enables users to develop and run reusable data import/export connectors that are able to read and write streams of events from external operating systems and applications, making integration with Apache Kafka simple and streamlined.
    • Consumer API allows users to subscribe and read one or more topics and to process the stream of events produced to them.
    • Admin API gives users the ability to examine and manage brokers, topics, and various other Kafka topics.
    • Producer API using this core element, users are able to write and publish a stream of events to one or more Kafka topics.

    Apache Kafka Benefits

    Apache Kafka has many valuable benefits. Some of its most valuable benefits include:

    • Load Shifting
    • Scalability
    • Decoupling
    • High Throughput
    • High Availability
    • Safe Permanent Storage
    • Excellent Integration Capabilities
    • Large, Reliable, Open-Source Community
    • Mission Critical
    • Wide Array of Available Learning Opportunities

    Not only is Apache Kafka a robust messaging queue it is also a tremendously durable and reliable streaming platform that is fully capable of securely delivering more than one million messages per second, which amounts to trillions of success delivered messages in one day.

    Reviews from Real Users

    “From my experience with Apache Kafka, one of the most notable advantages is its ability to maintain a comprehensive record of historical data that includes every update, alteration, and version of information, unlike a conventional relational database. This feature allows for seamless tracking and analysis of the progression and transformation of the data over time, enabling users to easily review and analyze the history of the information.” Dimitrios Z., Enterprise Architect at Smals vzw

    “We are currently on a legacy version and have found that the latest version of Kafka has solved many of the issues we were facing, such as sequencing, memory management, and more. Additionally, the fact that it is open source is a major benefit.” Pratul S. Software Engineer at a financial services firm

    “The solution has improved our functionality; it's one of the best streaming platforms I've used.” Sreekar N., Co-Founder at Attaika

    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).

    Red Hat JBoss A-MQ for xPaaS extends the capabilities to our Platform-as-a-Service (PaaS) solution, Red Hat OpenShift, for messaging services in the cloud.

    Sample Customers
    Uber, Netflix, Activision, Spotify, Slack, Pinterest
    E*TRADE, CERN, CenturyLink, AECOM, Sabre Holdings
    Top Industries
    REVIEWERS
    Financial Services Firm26%
    Computer Software Company18%
    Retailer15%
    Media Company8%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company13%
    Manufacturing Company6%
    Retailer5%
    No Data Available
    Company Size
    REVIEWERS
    Small Business35%
    Midsize Enterprise15%
    Large Enterprise51%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise73%
    No Data Available
    Buyer's Guide
    Message Queue (MQ) Software
    April 2024
    Find out what your peers are saying about Apache, IBM, Amazon Web Services (AWS) and others in Message Queue (MQ) Software. Updated: April 2024.
    769,599 professionals have used our research since 2012.

    Apache Kafka is ranked 1st in Message Queue (MQ) Software with 76 reviews while Red Hat JBoss A-MQ for xPaaS is ranked 12th in Message Queue (MQ) Software with 1 review. Apache Kafka is rated 8.0, while Red Hat JBoss A-MQ for xPaaS is rated 8.0. The top reviewer of Apache Kafka writes "Great access to multiple devices, with stability, at an affordable price". On the other hand, the top reviewer of Red Hat JBoss A-MQ for xPaaS writes "It's scalable and easy to use, and we have local support here in Tunisia". Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ and Anypoint MQ, whereas Red Hat JBoss A-MQ for xPaaS is most compared with IBM MQ.

    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.