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

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: October 2026).

Buyer's Guide

Message Queue (MQ) Software

October 2026

Download the complete report

Helped 920,929 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 (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.

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

"For reliable messaging, the most valuable feature of ActiveMQ for us is ensuring prompt message delivery."

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

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

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

"Reliable message delivery and mirroring."

"ActiveMQ is very lightweight and quick."

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

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

More ActiveMQ pros

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

"The most valuable feature is that it can handle high volume."

"Kafka, as compared with other messaging system options, is great for large scale message processing applications. It offers high throughput with built-in fault-tolerance and replication."

"Apache Kafka has became our main component on almost all our distributed solutions."

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

"This is the best tool I have ever used for asynchronous, event-based solutions."

"For example, when you want to send a message to inform all your clients about a new feature, you can publish that message to a single topic in Apache Kafka. This allows all clients subscribed to that topic to receive the message. On the other hand, if you need to send billing information to a specific customer, you can publish that message on a topic dedicated to that customer. This message can then be sent as an SMS to the customer, allowing them to view it on their mobile device."

"Kafka's most valuable feature is its user-friendliness."

More Apache Kafka pros

Cons

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

"The solution can improve the other protocols to equal the AMQ protocol they offer."

"AI capabilities require improvement in future updates."

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

"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."

"Configuring ActiveMQ brokers for working in a cluster is difficult and has many constraints."

"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."

"This solution could improve by providing better documentation."

More ActiveMQ cons

"Apache Kafka can improve by adding a feature out of the box which allows it to deliver only one message."

"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."

"The solution can improve its cloud support."

"Observability could be improved."

"I would like to see real-time event-based consumption of messages rather than the traditional way through a loop."

"Data pulling and restart ability need improving."

"Kafka requires non-trivial expertise with DevOps to deploy in production at scale."

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

More Apache Kafka cons

Pricing and Cost Advice

"I think the software is free."

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

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

"The solution is less expensive than its competitors."

"I use open source with standard Apache licensing."

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

"We use the open-source version."

"It’s open source, ergo free."

More ActiveMQ pricing and cost advice

"I would not subscribe to the Confluent platform, but rather stay on the free open source version. The extra cost wasn't justified."

"The price of Apache Kafka is good."

"Apache Kafka is open-source and can be used free of charge."

"It's a premium product, so it is not price-effective for us."

"It's quite affordable considering the value it provides."

"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."

"We use the free version."

"Apache Kafka is an open-source solution and there are no fees, but there are fees associated with confluence, which are based on subscription."

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

920,929 professionals have used our research since 2012.

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

Download ActiveMQ product report

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

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: October 2026.

DOWNLOAD NOW

920,929 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.