ActiveMQ vs Apache Kafka comparison

The compared ActiveMQ and Apache Kafka solutions aren't in the same category. ActiveMQ is ranked #2 in MQ , with an average rating of 8.0, and holds a 26.5% mindshare in the category. Apache Kafka is ranked #8 in SA , with an average rating of 8.3, and holds a 2.5% mindshare. Additionally, 88% of ActiveMQ users are willing to recommend the solution, compared to 95% of Apache Kafka users who would recommend it.

ActiveMQ

Read 26 ActiveMQ reviews

6,942 Views
4,318 Comparison Views

88% willing to recommend

Apache Kafka

Read 87 Apache Kafka reviews

978 Views
737 Comparison Views

95% 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 in this report how the two Message Queue (MQ) Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed ActiveMQ vs. Apache Kafka Report (Updated: May 2024).

Buyer's Guide

ActiveMQ vs. Apache Kafka

May 2024

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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

7.8

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 (8th)

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 26.5%, up 21.3% compared to last year.
Apache Kafka, on the other hand, focuses on Streaming Analytics, holds 2.5% mindshare, up 2.0% since last year.

Message Queue (MQ) Software

Streaming Analytics

Featured Reviews

Prashant-Sharma

Senior Software Engineer at a retailer with 10,001+ employees

Allows for asynchronous communication, enabling services to operate independently but issues with stability

The feature of ActiveMQ which I feel is good is its ability to have DLP, the later queues. If something goes wrong with the platform, it retries. Even if it fails, it goes to DLP, and later we can rescan the same event for processing. The ability to store the failed events for some time is valuable.

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Snehasish Das

Technology Leader at eTCaaS

Data streaming transforms real-time data movement with impressive scalability

I worked with Apache Kafka for customers in the financial industry and OTT platforms. They use Kafka particularly for data streaming. Companies offering movie and entertainment as a service, similar to Netflix, use Kafka Apache Kafka offers unique data streaming. It allows the use of data in…

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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

"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."

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

"I appreciate many features including queue, topic, durable topic, and selectors. I also value a different support for different protocols such as MQTT and AMQP. It has full support for EIP, REST, Message Groups, UDP, and TCP."

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

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

"The main function I find valuable in ActiveMQ is facilitating message transfer within the client's internal network. ActiveMQ handles the message transfer from the internal network to the cloud. Regarding multi-protocols, we use different approaches based on client capabilities. Some clients connect for real-time data transfer, using database queries for periodic updates every ten minutes. We collect data from multiple clients, ensuring we get real-time sensor values where possible and periodic updates for others."

"We value ActiveMQ for its performance, throughput, and low latency, especially in handling large volumes of data and sequential management of topics."

"It provides the best support services."

More ActiveMQ pros

"The stream processing is a very valuable aspect of the solution for us."

"It is the performance that is really meaningful."

"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."

"Robust and delivers messages quickly."

"It seemed pretty stable and didn't have any issues at all."

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

"Apache Kafka is actually a distributed commit log. That is different than most messaging and queuing systems before it."

"The valuable features are the group community and support."

More Apache Kafka pros

Cons

"The solution's stability needs improvement."

"From the TPS point of view, it's like 100,000 transactions that need to be admitted from different devices and also from the different minor small systems. Those are best fit for Kafka. We have used it on the customer side, and we thought of giving a try to ActiveMQ, but we have to do a lot of performance tests and approval is required before we can use it for this scale."

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

"There are some stability issues."

"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."

"Distributed message processing would be a nice addition."

"It does not scale out well. It ends up being very complex if you have a lot of mirror queues."

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

More ActiveMQ cons

"The management tool could be improved."

"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."

"There have been some challenges with monitoring Apache Kafka, as there are currently only a few production-grade solutions available, which are all under enterprise license and therefore not easily accessible. The speaker has not had access to any of these solutions and has instead relied on tools, such as Dynatrace, which do not provide sufficient insight into the Apache Kafka system. While there are other tools available, they do not offer the same level of real-time data as enterprise solutions."

"The solution can improve its cloud support."

"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."

"Kafka 2.0 has been released for over a month, and I wanted to try out the new features. However, the configuration is a little bit complicated: Kafka Broker, Kafka Manager, ZooKeeper Servers, etc."

"In the data sharing space, the performance of Apache Kafka could be improved."

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

More Apache Kafka cons

Pricing and Cost Advice

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

"It’s open source, ergo free."

"I use open source with standard Apache licensing."

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

"I think the software is free."

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

"We use the open-source version."

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

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."

"This is an open-source version."

"Kafka is more reasonably priced than IBM MQ."

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

"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."

"The price of the solution is low."

"The cost can vary depending on the provider and the specific flavor or version you use. I'm not very knowledgeable about the pricing details."

"It is approximately $600,000 USD."

More Apache Kafka pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

34%

Computer Software Company

11%

Manufacturing Company

Government

Financial Services Firm

30%

Computer Software Company

12%

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about ActiveMQ?

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

See all answers

What needs improvement with ActiveMQ?

We need to address the non-deterministic load issues. Sometimes, ActiveMQ either restarts automatically or goes into ActiveMQ mode, causing interruptions. We need to enhance stability and improve t...

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What is your primary use case for ActiveMQ?

We have a digital ID platform that uses various services running on Kafka. There are two main endpoints where services interact with external services. These include an automatic biometric service ...

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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 do you like most about Apache Kafka?

Apache Kafka is an open-source solution that can be used for messaging or event processing.

See all answers

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

The open-source version of Apache Kafka results in minimal costs, mainly linked to accessing documentation and limited support. Enterprises usually opt for the more cost-effective open-source edition.

See all answers

Comparisons

IBM MQ vs ActiveMQ

Compared 53% of the time

Red Hat AMQ vs ActiveMQ

Compared 16% of the time

MuleSoft Anypoint Platform vs ActiveMQ

Compared 12% of the time

Amazon SQS vs ActiveMQ

Compared 5% of the time

EMQX vs ActiveMQ

Compared 3% of the time

More ActiveMQ Competitors

Amazon SQS vs Apache Kafka

Compared 18% of the time

Red Hat AMQ vs Apache Kafka

Compared 16% of the time

MuleSoft Anypoint Platform vs Apache Kafka

Compared 15% of the time

IBM MQ vs Apache Kafka

Compared 13% of the time

VMware Tanzu Data Solutions vs Apache Kafka

Compared 3% of the time

More Apache Kafka Competitors

Product Reports

Buyer's Guide

ActiveMQ

March 2025

Download ActiveMQ product report

Buyer's Guide

Apache Kafka

March 2025

Download Apache Kafka product report

Also Known As

AMQ

No data available

Overview

Apache ActiveMQ is the most popular and powerful open source messaging and Integration Patterns server.

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License

Apache

Apache Kafka is an open-source distributed streaming platform that serves as a central hub for handling real-time data streams. It allows efficient publishing, subscribing, and processing of data from various sources like applications, servers, and sensors.

Kafka's core benefits include high scalability for big data pipelines, fault tolerance ensuring continuous operation despite node failures, low latency for real-time applications, and decoupling of data producers from consumers.

Key features include topics for organizing data streams, producers for publishing data, consumers for subscribing to data, brokers for managing clusters, and connectors for easy integration with various data sources.

Large organizations use Kafka for real-time analytics, log aggregation, fraud detection, IoT data processing, and facilitating communication between microservices.

Apache

Sample Customers

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

Uber, Netflix, Activision, Spotify, Slack, Pinterest

Buyer's Guide

ActiveMQ vs. Apache Kafka

May 2024

Free Report: ActiveMQ vs. Apache Kafka

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