Apache Kafka vs Red Hat AMQ comparison

Cancel
You must select at least 2 products to compare!
Apache Logo
15,120 views|11,556 comparisons
95% willing to recommend
Red Hat Logo
5,362 views|3,751 comparisons
87% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Mar 6, 2024

We compared Red Hat AMQ and Apache Kafka based on our user's reviews in several parameters.

The user reviews highlight that Red Hat AMQ is praised for its robust messaging capabilities, seamless integration, and excellent scalability, with exceptional customer service and support. In contrast, Apache Kafka is valued for its high scalability and fault-tolerant architecture, real-time data handling, and support for stream processing and data replication. However, Apache Kafka does not have feedback on customer service, pricing, or ROI, unlike Red Hat AMQ, which has some areas for improvement in scalability, ease of deployment, and customization options.

Features: Red Hat AMQ is recognized for its robust messaging capabilities, seamless integration, excellent scalability, reliable performance, and advanced security measures. On the other hand, Apache Kafka stands out for its high scalability, fault-tolerant architecture, real-time data handling, easy integration, support for stream processing and data replication.

Pricing and ROI: The setup cost for Red Hat AMQ is reported to be straightforward and hassle-free, with reasonable pricing. However, there is no available information regarding the pricing, setup cost, and licensing of Apache Kafka., Based on user feedback, Red Hat AMQ has a positive ROI with efficient workflow, increased productivity, reduced downtime, and improved message delivery. Apache Kafka's ROI reviews are either missing or unavailable.

Room for Improvement: Red Hat AMQ has room for improvement in scalability, ease of deployment, customization options, documentation, community support, platform stability, monitoring and management capabilities, and security features. In contrast, there is no specific feedback on improvement areas for Apache Kafka.

Deployment and customer support: Comparing the user reviews, Red Hat AMQ users mention varying timeframes for deployment and setup separately. In contrast, there is no information available regarding the duration required for Apache Kafka., Red Hat AMQ is highly regarded for its exceptional customer service and support. Users praise their prompt, friendly, and professional assistance, showcasing a deep understanding of their customers' needs. On the other hand, no feedback is available for Apache Kafka's customer service.

The summary above is based on 39 interviews we conducted recently with Red Hat AMQ and Apache Kafka users. To access the review's full transcripts, download our report.

To learn more, read our detailed Apache Kafka vs. Red Hat AMQ Report (Updated: March 2024).
767,847 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
"This is a system for email and other small devices. There has been a relay of transactions continuously over the last two years it has been in production.""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.""The solution is very easy to set up.""The open-source version is relatively straightforward to set up and only takes a few minutes.""Good horizontal scaling and design.""The most valuable feature is the documentation, which is good and clear.""It is a stable solution...A lot of my experience indicates that Apache Kafka is scalable."

More Apache Kafka Pros →

"AMQ is highly scalable and performs well. It can process a large volume of messages in one second. AMQ and OpenShift are a good combination.""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.""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.""The solution is very lightweight, easy to configure, simple to manage, and robust since it launched.""My impression is that it is average in terms of scalability.""The most valuable feature is stability.""Red Hat AMQ's best feature is its reliability."

More Red Hat AMQ Pros →

Cons
"The user interface is one weakness. Sometimes, our data isn't as accessible as we'd like. It takes a lot of work to retrieve the data and the index.""Data pulling and restart ability need improving.""The solution's initial setup process was complex.""Kafka's interface could also use some work. Some of our products are in C, and we don't have any libraries to use with C. From an interface perspective, we had a library from the readies. And we are streaming some of the products we built to readies. That is one of the requirements. It would be good to have those libraries available in a future release for our C++ clients or public libraries, so we can include them in our product and build on that.""There are some latency problems with Kafka.""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 GUI tools for monitoring and support are still very basic and not very rich. There is no help in determining a shard key for performance.""Stability of the API and the technical support could be improved."

More Apache Kafka Cons →

"The turnaround of adopting new versions of underlying technologies sometimes is too slow.""There is improvement needed to keep the support libraries updated.""There are several areas in this solution that need improvement, including clustering multi-nodes and message ordering.""Red Hat AMQ's cost could be improved, and it could have better integration.""This product needs better visualization capabilities in general.""AMQ could be better integrated with Jira and patch management tools.""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."

More Red Hat AMQ Cons →

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."
  • 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."
  • "The solution is open-source."
  • "Red Hat AMQ's pricing could be improved."
  • More Red Hat AMQ Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Message Queue (MQ) Software solutions are best for your needs.
    767,847 professionals have used our research since 2012.
    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:AMQ is highly scalable and performs well. It can process a large volume of messages in one second. AMQ and OpenShift are a good combination.
    Top Answer:AMQ could be better integrated with Jira and patch management tools.
    Top Answer:We use AMQ's event-driven architecture to exchange messages, and I can connect the AMQ Broker through various integrations.
    Ranking
    Views
    15,120
    Comparisons
    11,556
    Reviews
    34
    Average Words per Review
    530
    Rating
    8.0
    Views
    5,362
    Comparisons
    3,751
    Reviews
    3
    Average Words per Review
    268
    Rating
    9.0
    Comparisons
    IBM MQ logo
    Compared 25% of the time.
    Amazon SQS logo
    Compared 14% of the time.
    Anypoint MQ logo
    Compared 11% of the time.
    PubSub+ Event Broker logo
    Compared 10% of the time.
    VMware RabbitMQ logo
    Compared 6% of the time.
    ActiveMQ logo
    Compared 25% of the time.
    IBM MQ logo
    Compared 17% of the time.
    VMware RabbitMQ logo
    Compared 13% of the time.
    IBM Event Streams logo
    Compared 4% of the time.
    Amazon MQ logo
    Compared 3% of the time.
    Also Known As
    Red Hat JBoss A-MQ, Red Hat JBoss AMQ
    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).

    Sample Customers
    Uber, Netflix, Activision, Spotify, Slack, Pinterest
    E*TRADE, CERN, CenturyLink, AECOM, Sabre Holdings
    Top Industries
    REVIEWERS
    Financial Services Firm26%
    Computer Software Company18%
    Retailer16%
    Media Company8%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company13%
    Manufacturing Company6%
    Retailer6%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Computer Software Company13%
    Government10%
    Manufacturing Company7%
    Company Size
    REVIEWERS
    Small Business35%
    Midsize Enterprise16%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise74%
    REVIEWERS
    Small Business33%
    Midsize Enterprise44%
    Large Enterprise22%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise10%
    Large Enterprise75%
    Buyer's Guide
    Apache Kafka vs. Red Hat AMQ
    March 2024
    Find out what your peers are saying about Apache Kafka vs. Red Hat AMQ and other solutions. Updated: March 2024.
    767,847 professionals have used our research since 2012.

    Apache Kafka is ranked 1st in Message Queue (MQ) Software with 76 reviews while Red Hat AMQ is ranked 8th in Message Queue (MQ) Software with 7 reviews. Apache Kafka is rated 8.0, while Red Hat AMQ is rated 8.2. The top reviewer of Apache Kafka writes "Real-time processing and reliable for data integrity". On the other hand, the top reviewer of Red Hat AMQ writes "A stable, open-source technology, with a convenient deployment". Apache Kafka is most compared with IBM MQ, Amazon SQS, Anypoint MQ, PubSub+ Event Broker and VMware RabbitMQ, whereas Red Hat AMQ is most compared with ActiveMQ, IBM MQ, VMware RabbitMQ, IBM Event Streams and Amazon MQ. 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.