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 8.7, and holds a 20.0% mindshare in the category. Apache Kafka is ranked #3 in SA , with an average rating of 8.7, and holds a 3.6% 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

6,224 Views
6,037 Comparison Views

89% willing to recommend

Apache Kafka

Read 92 Apache Kafka reviews

6,902 Views
3,382 Comparison Views

96% willing to recommend

ActiveMQ

Apache Kafka

Comparison Buyer's Guide

Download the report

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: September 2026).

Buyer's Guide

Message Queue (MQ) Software

September 2026

Download the complete report

Helped 913,924 peers since 2012

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 (3rd)

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 20.0%, down 25.4% compared to last year.
Apache Kafka, on the other hand, focuses on Streaming Analytics, holds 3.6% mindshare, up 3.6% since last year.

Message Queue (MQ) Software Mindshare Distribution
Product	Mindshare (%)
ActiveMQ	20.0%
IBM MQ	21.3%
VMware Tanzu Data Solutions	9.7%
Other	49.0%

Message Queue (MQ) Software

Streaming Analytics Mindshare Distribution
Product	Mindshare (%)
Apache Kafka	3.6%
Databricks	7.4%
Apache Flink	7.0%
Other	82.0%

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.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"The ability to store the failed events for some time is valuable."

"The initial setup is straightforward and only takes a few minutes."

"There is a vibrant community, and it is one of the strongest points of this product. We always get answers to our problems. So, my experience with the community support has been good."

"I fully recommend this product, but you need to have some expertise working with JMS and asynchronous tasks."

"Thanks to ActiveMQ, the system is able to scale its heavy computing components during traffic peaks."

"For us, initial setup was VERY easy since we were using the Apache-provided Docker image for ActiveMQ, which alleviates a lot of the traditional pains involved with installing new software."

"I am impressed with the tool’s latency. Also, the messages in ActiveMQ wait in a queue. The messages will start to move when the system reopens after getting stuck."

"ActiveMQ is a good solution; it is low cost, high performance, and scalable."

More ActiveMQ pros

"The most valuable feature of Kafka is the Kafka Streams client."

"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."

"The solution is very scalable. We started with a cluster of three and then scaled it to seven."

"This is the base streaming component of our IoT platform."

"Ease of use."

"I use it for real-time processing workloads. So, in some instances, it's like IoT data. We need to put it into a data lake."

"Other than the problems with having no control over the queue, Apache Kafka is wonderful."

"The stability of the solution is very good, even for large enterprise-level organizations."

More Apache Kafka pros

Cons

"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."

"I do not recommend ActiveMQ over Apache Kafka partly because I don't know who provides support for the solution."

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

"It would be great if it is included as part of the solution, as Kafka is doing. Even though the use case of Kafka is different, If something like data extraction is possible, or if we can experiment with partition tolerance and other such things, that will be great."

"Because this is an open-source project, there is no support. We don't have any help or anything like that."

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

"We have had problems with the message selector as when the queue size reaches a certain level, the message selector does not have enough time to run and finish before the JMS reply timeout."

"Distributed message processing would be a nice addition."

More ActiveMQ cons

"Data pulling and restart ability need improving."

"This product guarantees at-least-once delivery."

"The ability to connect the producers and consumers must be improved."

"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."

"One of the things I am mostly looking for is that once the message is picked up from Kafka, it should not be visible or able to be consumed by other applications, or something along those lines. That feature is not present, but it is not a limitation or anything of the sort; rather, it is a desirable feature. The next release should include a feature that prevents messages from being consumed by other applications once they are picked up by Kafka."

"Too much dependency on the zookeeper and leader selection is still the bottleneck for Kafka implementation."

"Due to the fact that the solution is open source, it has a zookeeper dependency."

"One improvement is in regards to the OS memory management."

More Apache Kafka cons

Pricing and Cost Advice

"I think the software is free."

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

"We use the open-source version."

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

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

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

"It’s open source, ergo free."

"I use open source with standard Apache licensing."

More ActiveMQ pricing and cost advice

"Apache Kafka is an open-source solution."

"We are using the free version of Apache Kafka."

"The solution is free, it is open-source."

"It is approximately $600,000 USD."

"This is an open-source solution and is free to use."

"Licensing issues are not applicable. Apache licensing makes it simple with almost zero cost for the software itself."

"Kafka is an open-source solution, so there are no licensing costs."

"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."

More Apache Kafka pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Message Queue (MQ) Software solutions are best for your needs.

See recommendations

913,924 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

10%

Manufacturing Company

Comms Service Provider

Financial Services Firm

16%

Outsourcing Company

13%

Manufacturing Company

Computer Software 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 56% 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 5% of the time

Amazon MQ 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 10% of the time

Databricks vs Apache Kafka

Compared 8% of the time

Azure Stream Analytics vs Apache Kafka

Compared 8% of the time

TIBCO Streaming vs Apache Kafka

Compared 3% of the time

More Apache Kafka Competitors

Product Reports

Buyer's Guide

ActiveMQ

September 2026

Download ActiveMQ product report

Buyer's Guide

Apache Kafka

September 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

September 2026

Download Free Report

Find out what your peers are saying about IBM, Apache, Amazon Web Services (AWS) and others in Message Queue (MQ) Software. Updated: September 2026.

DOWNLOAD NOW

913,924 professionals have used our research since 2012.

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.