Amazon MQ vs Apache Kafka comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon MQ and Apache Kafka based on real PeerSpot user reviews.

Find out what your peers are saying about IBM, Apache, Amazon and others in Message Queue (MQ) Software.
To learn more, read our detailed Message Queue (MQ) Software Report (Updated: November 2022).
654,218 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:
"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 valuable feature is the support for a high volume of data.""valuable features relate to microservices architecture and working on KStream and KSQL DB as a microservices event bus.""The most valuable feature is the messaging function and reliability.""The stability is very nice. We currently manage 50 million events daily.""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 is scalable. It is easy to add brokers.""I like Kafka's flexibility, stability, reliability, and robustness."

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"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."

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"Apache Kafka can improve by providing a UI for monitoring. There are third-party tools that can do it, but it would be nice if it was already embedded within Apache Kafka.""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.""The management tool could be improved.""More Windows support, I believe, is one area where it can improve.""Kafka has a lot of monitors, but sometimes it's most important to just have a simple monitor.""Apache Kafka can improve by making the documentation more user-friendly. It would be beneficial if we could explain to customers in more detail how the solution operates but the documentation get highly technical quickly. For example, if they had a simple page where we can show the customers how it works without the need for the customer to have a computer science background.""It's not possible to substitute IBM MQ with Apache Kafka because the JMS part is not very stable.""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."

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Pricing and Cost Advice
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  • "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."
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    Questions from the Community
    Top Answer:The initial Amazon MQ setup is very easy both when you do it on your own or use the self-managed instance.
    Top Answer:I would like to see Amazon MQ introduce other messaging queues like IBM MQ with an easily configured plugin. I would also like to see Amazon MQ offer only one IP instead of two. Right now, they give… more »
    Top Answer:I'm an administrator and my primary use case for Amazon MQ is as an integration layer between applications. I configure the brokers, queues, and users.
    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 open-source version is relatively straightforward to set up and only takes a few minutes.
    Average Words per Review
    Average Words per Review
    Learn More

    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 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.
    Learn more about Amazon MQ
    Learn more about Apache Kafka
    Sample Customers
    SkipTheDishes, Malmberg,, Bench Accounting
    Uber, Netflix, Activision, Spotify, Slack, Pinterest
    Top Industries
    Computer Software Company22%
    Comms Service Provider18%
    Financial Services Firm13%
    Media Company11%
    Computer Software Company27%
    Financial Services Firm13%
    Manufacturing Company10%
    Financial Services Firm27%
    Computer Software Company17%
    Comms Service Provider11%
    Company Size
    Small Business15%
    Midsize Enterprise14%
    Large Enterprise71%
    Small Business35%
    Midsize Enterprise12%
    Large Enterprise53%
    Small Business13%
    Midsize Enterprise10%
    Large Enterprise77%
    Buyer's Guide
    Message Queue (MQ) Software
    November 2022
    Find out what your peers are saying about IBM, Apache, Amazon and others in Message Queue (MQ) Software. Updated: November 2022.
    654,218 professionals have used our research since 2012.

    Amazon MQ is ranked 8th in Message Queue (MQ) Software with 1 review while Apache Kafka is ranked 2nd in Message Queue (MQ) Software with 29 reviews. Amazon MQ is rated 8.0, while Apache Kafka is rated 8.0. The top reviewer of Amazon MQ writes "Easy setup; the right option for small and medium-sized enterprises ". On the other hand, the top reviewer of Apache Kafka writes "Good partition tolerance, message reliability, and API integration ". Amazon MQ is most compared with Amazon SQS, IBM MQ, VMware RabbitMQ and Red Hat AMQ, whereas Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, ActiveMQ and Oracle Event Hub Cloud Service.

    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.