ActiveMQ vs Apache Kafka comparison

Why PeerSpot?

The compared ActiveMQ and Apache Kafka solutions aren't in the same category. ActiveMQ is ranked #2 in MQ , with an average rating of 9.0, and holds a 20.1% mindshare in the category. Apache Kafka is ranked #6 in SA , with an average rating of 8.6, and holds a 3.5% mindshare. Additionally, 89% of ActiveMQ users are willing to recommend the solution, compared to 96% of Apache Kafka users who would recommend it.

ActiveMQ

Read 28 ActiveMQ reviews

6,953 Views
6,744 Comparison Views

89% willing to recommend

Apache Kafka

Read 92 Apache Kafka reviews

7,712 Views
4,010 Comparison Views

96% willing to recommend

ActiveMQ

Apache Kafka

Comparison Buyer's Guide

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Executive Summary

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

Find out what your peers are saying about IBM, Apache, Amazon Web Services (AWS) and others in Message Queue (MQ) Software.

To learn more, read our detailed Message Queue (MQ) Software Report (Updated: October 2026).

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Message Queue (MQ) Software

October 2026

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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

ActiveMQ

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Message Queue (MQ) Software (2nd)

Apache Kafka

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Streaming Analytics (6th)

Mindshare comparison

ActiveMQ and Apache Kafka aren’t in the same category and serve different purposes. ActiveMQ is designed for Message Queue (MQ) Software and holds a mindshare of 20.1%, down 24.0% compared to last year.
Apache Kafka, on the other hand, focuses on Streaming Analytics, holds 3.5% mindshare, down 3.8% since last year.

Message Queue (MQ) Software Mindshare Distribution
Product	Mindshare (%)
ActiveMQ	20.1%
IBM MQ	21.4%
VMware Tanzu Data Solutions	9.8%
Other	48.7%

Message Queue (MQ) Software

Streaming Analytics Mindshare Distribution
Product	Mindshare (%)
Apache Kafka	3.5%
Databricks	7.4%
Apache Flink	6.7%
Other	82.4%

Streaming Analytics

Featured Reviews

MoumitaDas

Software Engineer III at a financial services firm with 10,001+ employees

Integration capabilities enhance message handling without human interaction

With ActiveMQ there should be more options. If you work with other technologies, for example, Java, there are many options. We can integrate the way we want ActiveMQ. We can create partitions and clusters, but AP is not providing such options currently. It only provides time, request response timing, the number of requests that need to be handled, and protocol types. The configuration needs to be broadened inside AP to perform in a better way. Sometimes issues arise in production with ActiveMQ due to the number of requests. For example, if you have configured one thousand requests at a time and it receives one thousand and one messages at a time, it breaks. The configuration aspect is tricky. When configurations are proper, ActiveMQ almost has zero errors.

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Amandeep Pawar

Engineer Technology at Iris Software Technologies Private Limited

Event-driven architecture has improved asynchronous communication and supports high throughput

We can improve the high throughput because there are some limitations. We could add something to improve Apache Kafka. Based on my daily usage and analysis, there is a complex setup and management, which is one area requiring improvement. Apache Kafka does not have built-in message delay or scheduling capabilities. Apache Kafka cannot natively schedule messages. Limited message prioritization is also an area requiring improvement. Ordering is limited to a single partition. Large messages affect performance. Apache Kafka is optimized for many small to medium-sized messages, but large payloads increase network usage, increase disk usage, and slow down producers and consumers. I rate Apache Kafka eight out of ten instead of ten out of ten because operating an Apache Kafka cluster requires expertise in partitioning, application monitoring, and capacity planning. Self-managed deployment can become complex as the cluster grows. Pro-managed Apache Kafka services significantly reduce the operational overhead.

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Quotes from Members

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

Pros

"It’s a JMS broker, so the fact that it can allow for asynchronous communication is valuable."

"I'm impressed, I think that Active MQ is great."

"The initial setup and first deployment of ActiveMQ is fairly simple."

"It's a very easy-to-use product, documentation is sufficient, and anyone with a bit of knowledge about technology, like Java, can quickly set it up and it could be up and running in minutes."

"The installation was pretty straightforward, and it was also easy setting up HA using an NFS share for hosting the KahaDB."

"The most important feature is that it's best for JVM-related languages and JMS integration."

"Depending on the problem, AMQ resolved nearly everything."

"ActiveMQ brings the most value to small applications because it will not cost you very much to complete."

More ActiveMQ pros

"The message bus capabilities, basically sending messages to it, and the way it handles events or messages is pretty good."

"The most valuable features to me are replication, partitioning and easy integration with Apache Spark, which we use quite a bit for distributed processing."

"One of the most valuable features I have found is Kafka Connect."

"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 stability is very nice, and we currently manage 50 million events daily."

"One of the best features which I have worked with is replay."

"We used to lose some of our messages when we integrated them in bulk, this solution has stopped that happening."

"The publisher-subscriber pattern and low latency are also essential features that greatly piqued my interest."

More Apache Kafka pros

Cons

"Apache ActiveMQ needs some improvement playing with multi-platform message clients."

"The included admin web app is not sufficient and we ended up disabling it."

"This solution could improve by providing better documentation."

"Distributed message processing would be a nice addition."

"There is need for more protocols and maybe they should provide documentation on the internet as well."

"We need to enhance stability and improve the deployment optimization to fully leverage the platform's capabilities."

"I would like the tool to improve compliance and stability. We will encounter issues while using the central applications. In the solution's future releases, I want to control and set limitations for databases."

"The tool needs to improve its installation part which is lengthy. The product is already working on that aspect so that the complete installation gets completed within a month."

More ActiveMQ cons

"Kafka has some limitations in terms of queue management."

"More adapters for connecting to different systems need to be available."

"The price for the enterprise version is quite high. It would be better to have a lower price."

"The interface has room for improvement, and there is a steep learning curve for Hadoop integration. It was a struggle learning to send from Hadoop to Kafka. In future releases, I'd like to see improvements in ETL functionality and Hadoop integration."

"Apache Kafka could improve data loss and compatibility with Spark."

"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."

"We cannot apply all of our security requirements because it is hard to upload them."

"We used to have problems in Kafka every three weeks and our dev ops team fixed a few issues."

More Apache Kafka cons

Pricing and Cost Advice

"There are no fees because it is open-source."

"The tool's pricing is reasonable and competitive compared to other solutions."

"We use the open-source version."

"We are using the open-source version, so we have not looked at any pricing."

"I use open source with standard Apache licensing."

"ActiveMQ is open source, so it is free to use."

"The solution is less expensive than its competitors."

"It’s open source, ergo free."

More ActiveMQ pricing and cost advice

"It is open source software."

"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 solution is open source."

"It is approximately $600,000 USD."

"Kafka is more reasonably priced than IBM MQ."

"I was using the product's free version."

"The price of the solution is low."

More Apache Kafka pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

10%

Computer Software Company

Comms Service Provider

Financial Services Firm

15%

Outsourcing Company

13%

Manufacturing Company

10%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	4
Large Enterprise	17

By reviewers
Company Size	Count
Small Business	33
Midsize Enterprise	20
Large Enterprise	51

Questions from the Community

What needs improvement with ActiveMQ?

Pricing is something to consider with ActiveMQ, though cloud pricing is not costly and depends upon the compute selection. Focusing on AI is essential nowadays. AI capabilities require improvement ...

See all answers

What is your primary use case for ActiveMQ?

In my current organization, I'm only working with ActiveMQ. I previously worked with IBM WebSphere MQ.

See all answers

What advice do you have for others considering ActiveMQ?

We have not deployed ActiveMQ's flexible clustering as that requirement is not present for us. We only use active-passive configuration. On a scale of one to ten, I rate ActiveMQ a ten out of ten.

See all answers

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...

See all answers

What is your experience regarding pricing and costs for Apache Kafka?

Based on my understanding for the setup and cost to set up Apache Kafka, I was not responsible for the pricing or licensing decisions. Apache Kafka itself is open source and free to use. Infrastruc...

See all answers

What needs improvement with Apache Kafka?

See all answers

Comparisons

IBM MQ vs ActiveMQ

Compared 57% of the time

VMware Tanzu Data Solutions vs ActiveMQ

Compared 6% of the time

Red Hat AMQ vs ActiveMQ

Compared 5% of the time

MuleSoft Anypoint Platform vs ActiveMQ

Compared 4% of the time

Redis vs ActiveMQ

Compared 1% of the time

More ActiveMQ Competitors

PubSub+ Platform vs Apache Kafka

Compared 11% of the time

Red Hat AMQ vs Apache Kafka

Compared 9% of the time

Azure Stream Analytics vs Apache Kafka

Compared 8% of the time

Databricks vs Apache Kafka

Compared 7% of the time

VMware Tanzu Data Solutions vs Apache Kafka

Compared 4% of the time

More Apache Kafka Competitors

Product Reports

Buyer's Guide

ActiveMQ

November 2026

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Buyer's Guide

Apache Kafka

November 2026

Download Apache Kafka product report

Also Known As

AMQ

No data available

Overview

ActiveMQ is a messaging broker facilitating microservices communication and event management. It supports message queues, Camel routes, and asynchronous communication, enhancing integration capabilities and scalability with a network of brokers.

ActiveMQ efficiently supports message transfer in IoT applications and third-party systems, acting as a hub for code distribution and data flow management. It integrates well with XML and protocols like MQTT, while its fast messaging, reliable delivery, and efficient setup via Docker cater to diverse messaging needs. Though ActiveMQ is cost-effective, challenges exist with scalability, stability, and administration tools. Enhanced documentation and broader protocol support could resolve these issues, improving administration and initial configurations.

What are the key features of ActiveMQ?

Message Queues: Supports efficient queuing systems for distributing messages.
Camel Routes: Facilitates robust routing mechanisms within applications.
High Availability: Ensures reliable service delivery without interruptions.
Asynchronous Communication: Supports real-time interaction across systems.
XML Integration: Provides flexible communication through XML compatibility.
Protocol Support: Works with protocols like MQTT for versatile messaging.
Brokers Network: Enhances scalability with interconnected broker systems.
Docker Setup: Simplifies deployment processes using containerization.

What benefits should users expect from ActiveMQ?

Reliable Delivery: Guarantees messages are delivered promptly and consistently.
Cost-Effectiveness: Ensures affordability for small-scale applications.
Flexible Integration: Offers adaptable messaging solutions with varied systems.
Ease of Setup: Provides straightforward configuration and deployment processes.

ActiveMQ implementation spans industries from IoT, managing device communications and responses, to middleware solutions for payload consumption. It handles registrations and updates, sometimes being used in demonstrations of message broker concepts. Users often leverage it for its message handling efficiency in industry-specific applications.

Apache

Apache Kafka provides scalable, high-throughput, real-time data processing. Appreciated for its open-source nature and integration capabilities, Kafka supports distributed messaging and high-volume handling with essential features like message retention, replication, and partitioning.

Apache Kafka is a powerful tool for managing efficient data streams and high volumes of asynchronous messages. Its ease of setup and robust integration options make it popular among industries requiring real-time data streaming and processing. Key features such as message retention and consumer groups cater to demanding applications, while fault-tolerant design ensures reliability. Despite its advantages, Kafka can improve in areas like duplicate management, documentation, and intuitive interfaces. Challenges in configuration and monitoring tools suggest areas for enhancement, alongside reducing complexity and resource dependency.

What are the key features of Apache Kafka?

Scalability: Efficiently handles increasing data volumes without performance loss.
High Throughput: Processes large amounts of data quickly and efficiently.
Real-time Processing: Facilitates immediate data streaming and analytics.
Fault Tolerance: Maintains operations despite failures, ensuring continuous data flow.
Open-source Nature: Offers community-driven enhancements and reduced costs.

What benefits should users look for in Apache Kafka reviews?

Robust Integration: Easily connects with various applications and systems.
Cost-effectiveness: Leverages open-source advantages for financial savings.
Reliability: Provides consistent performance with fault-tolerant mechanisms.
Scalable Infrastructure: Supports growing business needs without compromising efficiency.

Industry applications for Apache Kafka include real-time data streaming for IoT, big data management, and analytics. In finance, it supports fraud detection and transaction monitoring. Healthcare uses Kafka for patient data handling and logistics leverage its data distribution capabilities to optimize operations. Its ability to manage large-scale asynchronous communication makes it vital across sectors demanding high data throughput and reliability.

Apache

Sample Customers

University of Washington, Daugherty Systems, CSC, STG Technologies, Inc.

Uber, Netflix, Activision, Spotify, Slack, Pinterest

Buyer's Guide

Message Queue (MQ) Software

October 2026

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