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Amazon MQ vs Apache Kafka comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon MQ
Average Rating
8.4
Reviews Sentiment
5.9
Number of Reviews
8
Ranking in other categories
Message Queue (MQ) Software (7th)
Apache Kafka
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
90
Ranking in other categories
Streaming Analytics (7th)
 

Mindshare comparison

Amazon MQ and Apache Kafka aren’t in the same category and serve different purposes. Amazon MQ is designed for Message Queue (MQ) Software and holds a mindshare of 4.5%, up 3.5% compared to last year.
Apache Kafka, on the other hand, focuses on Streaming Analytics, holds 3.8% mindshare, up 2.2% since last year.
Message Queue (MQ) Software Market Share Distribution
ProductMarket Share (%)
Amazon MQ4.5%
IBM MQ22.5%
ActiveMQ22.4%
Other50.6%
Message Queue (MQ) Software
Streaming Analytics Market Share Distribution
ProductMarket Share (%)
Apache Kafka3.8%
Apache Flink12.3%
Databricks10.0%
Other73.9%
Streaming Analytics
 

Featured Reviews

RamilCerrada - PeerSpot reviewer
Solution architect at SM Supermalls
Has provided consistent functionality across on-premise and cloud while simplifying cloud integration
I have experience with on-premise setups using ActiveMQ and RabbitMQ, but with regards to AWS, I use it via cloud only. There's a free tier with Amazon MQ based on their website, which is a six-month free trial of a single instance, allowing per month usage of either ActiveMQ or RabbitMQ, five gig of Amazon EFS storage, and for ActiveMQ, it's 20 gig of Amazon EBS storage for RabbitMQ. I did not purchase Amazon MQ through AWS Marketplace. Amazon MQ has published information about having 650 hours of free trial usage. This can be found via the AWS website by searching for AWS MQ. On a scale of one to ten, I rate Amazon MQ an eight out of ten.
Bruno da Silva - PeerSpot reviewer
Senior Manager at Timestamp, SA
Have worked closely with the team to deploy streaming and transaction pipelines in a flexible cloud environment
The interface of Apache Kafka could be significantly better. I started working with Apache Kafka from its early days, and I have seen many improvements. The back office functionality could be enhanced. Scaling up continues to be a challenge, though it is much easier now than it was in the beginning.

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."
"Since we utilize AWS, it's easy to integrate Amazon MQ and work with other third-party software, as they have standard communications via API or native language."
"We have found Amazon MQ to provide scalability, robustness, and security."
"Amazon MQ is a secure solution."
"Amazon MQ is managed by AWS and is easy to use."
"Amazon MQ is important for being collaborative, allowing for centralized information."
"The initial Amazon MQ setup is very easy both when you do it on your own or use the self-managed instance."
"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."
"Robust and delivers messages quickly."
"Resiliency is great and also the fact that it handles different data formats."
"Kafka makes data streaming asynchronous and decouples the reliance of events on consumers."
"Good horizontal scaling and design."
"It's an open-source product, which means it doesn't cost us anything to use it."
"Kafka's most valuable feature is its user-friendliness."
"The ability to partition data on Kafka is valuable."
"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."
 

Cons

"If Amazon provided a templating engine, it would be great."
"Monitoring capabilities are not yet fully developed, since it's a message broker service, so it focuses more on the health of Apache."
"The solution needs improvement in the back end and security."
"In community support, especially with distributed systems and integration, there is a need for better system organization."
"The product should improve its monitoring capabilities. It needs to improve the pricing also."
"Amazon MQ isn't a cheap tool."
"Depending on your use cases, Amazon MQ can be cheap or expensive."
"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."
"There is a lot of information available for the solution and it can be overwhelming to sort through."
"The solution can improve its cloud support."
"Kafka has some limitations in terms of queue management."
"For personal preferences, since we use Managed Kafka in AWS, I would appreciate having some kind of UI integrated into Apache Kafka for connecting to it because using code to connect it is basic, but we can use a UI."
"In the data sharing space, the performance of Apache Kafka could be improved."
"I would like to see an improvement in authentication management."
"The UI used to access Kafka topics can be further improved."
"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."
 

Pricing and Cost Advice

"As a client or as an end user, I would say that Google Cloud Storage or Google Cloud are cheaper than Amazon MQ."
"Depending on your use cases, Amazon MQ can be cheap or expensive."
"Kafka is open-source and it is cheaper than any other product."
"Apache Kafka is open-source and can be used free of charge."
"The price of Apache Kafka is good."
"We are using the free version of Apache Kafka."
"It is approximately $600,000 USD."
"I would not subscribe to the Confluent platform, but rather stay on the free open source version. The extra cost wasn't justified."
"The solution is open source."
"I rate Apache Kafka's pricing a five on a scale of one to ten, where one is cheap and ten is expensive. There are no additional costs apart from the licensing fees for Apache Kafka."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
10%
Manufacturing Company
8%
Real Estate/Law Firm
6%
Financial Services Firm
22%
Computer Software Company
11%
Manufacturing Company
9%
Retailer
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise3
Large Enterprise3
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise18
Large Enterprise49
 

Questions from the Community

What do you like most about Amazon MQ?
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.
What needs improvement with Amazon MQ?
Amazon MQ needs to have data collected on performance to analyze trends for improvement. Additionally, some tools can suggest how to improve performance in terms of speed, time, and processing, whi...
What is your primary use case for Amazon MQ?
I have some experience working with Amazon MQ.
What are the differences between Apache Kafka and IBM MQ?
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 user...
What do you like most about Apache Kafka?
Apache Kafka is an open-source solution that can be used for messaging or event processing.
What is your experience regarding pricing and costs for Apache Kafka?
Its pricing is reasonable. It's not always about cost, but about meeting specific needs.
 

Comparisons

 

Overview

 

Sample Customers

SkipTheDishes, Malmberg, Dealer.com, Bench Accounting
Uber, Netflix, Activision, Spotify, Slack, Pinterest
Find out what your peers are saying about Amazon MQ vs. Apache Kafka and other solutions. Updated: May 2024.
881,082 professionals have used our research since 2012.