Amazon MQ vs Apache Kafka comparison

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Amazon Web Services (AWS) Logo
2,850 views|2,472 comparisons
100% willing to recommend
Apache Logo
15,120 views|11,556 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon MQ and Apache Kafka 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 Amazon MQ vs. Apache Kafka Report (Updated: March 2024).
768,415 professionals have used our research since 2012.
Featured Review
David Onuh
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Amazon MQ is a very scalable solution.""The tool's most valuable feature is its managed service aspect. It's simple to implement and use. It requires minimal effort to maintain business operations.""The initial Amazon MQ setup is very easy both when you do it on your own or use the self-managed instance."

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"The most important feature for me is the guaranteed delivery of messages from producers to consumers.""A great streaming platform.""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.""Excellent speeds for publishing messages faster.""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.""Kafka's most valuable feature is its user-friendliness.""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.""The stability is very nice. We currently manage 50 million events daily."

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Cons
"Amazon MQ is a good solution for small and medium-sized enterprises. It's open-source software, which means it's cheaper than its competitors.""The product should improve its monitoring capabilities. It needs to improve the pricing also.""Depending on your use cases, Amazon MQ can be cheap or expensive."

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"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.""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.""The repository isn't working very well. It's not user friendly.""They need to have a proper portal to do everything because, at this moment, Kafka is lagging in this regard.""Managing Apache Kafka can be a challenge, but there are solutions. I used the newest release, as it seems they have removed Zookeeper, which should make it easier. Confluent provides a fully managed Kafka platform, in which the cluster does not need to be managed.""Lacks elasticity and the ability to scale down.""Maintaining and configuring Apache Kafka can be challenging, especially when you want to fine-tune its behavior.""Some vendors don't offer extra features for monitoring."

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Pricing and Cost Advice
  • "Depending on your use cases, Amazon MQ can be cheap or expensive."
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  • "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:The tool's most valuable feature is its managed service aspect. It's simple to implement and use. It requires minimal effort to maintain business operations.
    Top Answer:The product should improve its monitoring capabilities. It needs to improve the pricing also.
    Top Answer:We take our managed matrices and messages and add them to Amazon MQ. We have consumer services that pick out from these queues and combat these queues before pushing to another endpoint or a new… more »
    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.
    Ranking
    Views
    2,850
    Comparisons
    2,472
    Reviews
    2
    Average Words per Review
    434
    Rating
    9.0
    Views
    15,120
    Comparisons
    11,556
    Reviews
    34
    Average Words per Review
    530
    Rating
    8.0
    Comparisons
    Amazon SQS logo
    Compared 46% of the time.
    VMware RabbitMQ logo
    Compared 16% of the time.
    IBM MQ logo
    Compared 12% of the time.
    Red Hat AMQ logo
    Compared 6% of the time.
    EMQX logo
    Compared 2% of the time.
    IBM MQ logo
    Compared 25% of the time.
    Amazon SQS logo
    Compared 14% of the time.
    Red Hat AMQ logo
    Compared 13% of the time.
    Anypoint MQ logo
    Compared 11% of the time.
    IBM Event Streams logo
    Compared 3% of the time.
    Learn More
    Overview

    Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Message brokers allow different software systems–often using different programming languages, and on different platforms–to communicate and exchange information. Amazon MQ reduces your operational load by managing the provisioning, setup, and maintenance of ActiveMQ, a popular open-source message broker. Connecting your current applications to Amazon MQ is easy because it uses industry-standard APIs and protocols for messaging, including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. Using standards means that in most cases, there’s no need to rewrite any messaging code when you migrate to AWS.

    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

    Sample Customers
    SkipTheDishes, Malmberg, Dealer.com, Bench Accounting
    Uber, Netflix, Activision, Spotify, Slack, Pinterest
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company13%
    Manufacturing Company7%
    Government7%
    REVIEWERS
    Financial Services Firm26%
    Computer Software Company18%
    Retailer16%
    Media Company8%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company13%
    Manufacturing Company6%
    Retailer6%
    Company Size
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business35%
    Midsize Enterprise16%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise73%
    Buyer's Guide
    Amazon MQ vs. Apache Kafka
    March 2024
    Find out what your peers are saying about Amazon MQ vs. Apache Kafka and other solutions. Updated: March 2024.
    768,415 professionals have used our research since 2012.

    Amazon MQ is ranked 9th in Message Queue (MQ) Software with 3 reviews while Apache Kafka is ranked 1st in Message Queue (MQ) Software with 76 reviews. Amazon MQ is rated 8.4, while Apache Kafka is rated 8.0. The top reviewer of Amazon MQ writes "Provides you with a URL where you can either send or retrieve messages". On the other hand, the top reviewer of Apache Kafka writes "Great access to multiple devices, with stability, at an affordable price". Amazon MQ is most compared with Amazon SQS, VMware RabbitMQ, IBM MQ, Red Hat AMQ and EMQX, whereas Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, Anypoint MQ and IBM Event Streams. See our Amazon MQ vs. Apache Kafka 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.