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

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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: September 2026).

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Message Queue (MQ) Software

September 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 (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.

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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

"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."

"ActiveMQ is a great messaging system for synchronizing call and "fire and forget" types of calls."

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

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

"Loose coupling of components by the use of messaging queues allows for completely separate component life cycles and ownership within the organization."

"ActiveMQ demonstrates excellent stability and sturdiness."

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

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

More ActiveMQ pros

"Kafka is good, but Kafka as a cloud service is awesome!!"

"Scalability is very good."

"Overall, I rate Apache Kafka as nine out of ten for its scalability and stability."

"Kafka allows you to handle huge amounts of data and classify it into different categories. If you have huge amounts of data, Kafka is a very good solution for data classification."

"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."

"I believe that the speed, and especially the performance, are very good features."

"Apache Kafka has improved our organization because it's more reliable than Rabbit."

"It is easy to configure."

More Apache Kafka pros

Cons

"One potential area would be the complexity of the initial setup."

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

"AI capabilities require improvement in future updates."

"Another area of improvement is the monitoring console, which is kind of rudimentary."

"The clustering for sure needs improvement. When we were using it, the only thing available was an active/passive relationship that had to be maintained via shared file storage. That model includes a single point of failure in that storage medium."

"We ran into various stability problems with our implementations over the years."

"Even though there is support from many open source communities, there is still weakness in ease-of-use and ease-of-configuration for more complex scenarios."

"The solution's stability needs improvement."

More ActiveMQ cons

"In Apache Kafka, it is currently difficult to create a consumer."

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

"They need to have a proper portal to do everything because, at this moment, Kafka is lagging in this regard."

"I would like them to reduce the learning curve around the creation of brokers and topics. They also need to improve on the concept of the partitions."

"The solution's initial setup process was complex."

"Lacks elasticity and the ability to scale down."

"Kafka requires non-trivial expertise with DevOps to deploy in production at scale. The organization needs to understand ZooKeeper and Kafka and should consider using additional tools, such as MirrorMaker, so that the organization can survive an availability zone or a region going down."

"The management overhead is more compared to the messaging system. There are challenges here and there. Like for long usage, it requires restarts and nodes from time to time."

More Apache Kafka cons

Pricing and Cost Advice

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

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

"I use open source with standard Apache licensing."

"The solution is less expensive than its competitors."

"It’s open source, ergo free."

"I think the software is free."

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

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

More ActiveMQ pricing and cost advice

"Running a Kafka cluster can be expensive, especially if you need to scale it up to handle large amounts of data."

"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."

"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."

"It's a bit cheaper compared to other Q applications."

"The solution is open source; it's free to use."

"We use the free version."

"The solution is open source."

More Apache Kafka pricing and cost advice

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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

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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

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