StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. ActiveMQ vs Apache Camel

ActiveMQ vs Apache Camel

OverviewComparisonAlternatives

Overview

ActiveMQ
ActiveMQ
Stacks879
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K
Apache Camel
Apache Camel
Stacks8.2K
Followers323
Votes22
GitHub Stars6.0K
Forks5.1K

ActiveMQ vs Apache Camel: What are the differences?

Key differences between ActiveMQ and Apache Camel

Introduction: ActiveMQ and Apache Camel are two popular open-source projects that are commonly used in building and integrating applications. While both ActiveMQ and Apache Camel are part of the Apache Software Foundation, they serve distinct purposes and have different functionalities.

  1. Messaging vs. Integration Framework: The primary difference between ActiveMQ and Apache Camel is the core functionality they provide. ActiveMQ is a message broker that enables reliable messaging between applications, acting as an intermediary for communication. On the other hand, Apache Camel is an integration framework that provides various components and patterns to facilitate the integration of different systems and applications.

  2. Message-Oriented vs. Integration-Oriented: ActiveMQ focuses on providing features and capabilities related to messaging and queuing systems. It handles the reliable delivery of messages and offers features such as topic-based publish-subscribe, message persistence, and message selectors. In contrast, Apache Camel focuses on integrating systems and applications by providing a comprehensive set of Enterprise Integration Patterns (EIPs) and APIs.

  3. Transport Protocols Supported: ActiveMQ supports various transport protocols for communication, such as TCP/IP, HTTP, and WebSockets. It also provides support for industry-standard protocols like AMQP and MQTT. On the other hand, Apache Camel supports a wide range of transport protocols and data formats, enabling seamless integration between different systems, including HTTP, JMS, FTP, SFTP, and many others.

  4. Routing and Mediation Capabilities: Apache Camel excels in its routing and mediation capabilities. It offers a vast collection of routing patterns and allows developers to define complex routing rules easily. It supports content-based routing, message transformation, and routing policies, making it a powerful tool for building robust integration solutions. In contrast, ActiveMQ focuses more on the reliable message delivery and broker functionality, offering limited routing and mediation capabilities.

  5. Deployment and Scalability: ActiveMQ is designed to be a standalone messaging broker that can be deployed on a server or cluster. It provides features like high availability, load balancing, and automatic failover to ensure reliable message delivery in distributed environments. On the other hand, Apache Camel is typically deployed as part of an integration solution within an application server or middleware platform, offering scalability and flexibility for integration scenarios.

  6. APIs and Developer Productivity: ActiveMQ provides a well-defined Java Message Service (JMS) API, which is widely supported and used for messaging in Java applications. It also offers support for other programming languages and frameworks through language-specific APIs and connectors. Apache Camel, on the other hand, provides a simple yet expressive Domain Specific Language (DSL) for building integration flows. It offers rich APIs and libraries for different programming languages, making it easy to develop and test integration solutions.

In Summary, ActiveMQ is primarily a message broker focusing on reliable messaging, while Apache Camel is an integration framework with extensive routing and mediation capabilities, supporting a wide range of transport protocols and formats.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

ActiveMQ
ActiveMQ
Apache Camel
Apache Camel

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.

An open source Java framework that focuses on making integration easier and more accessible to developers.

Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
-
Statistics
GitHub Stars
2.4K
GitHub Stars
6.0K
GitHub Forks
1.5K
GitHub Forks
5.1K
Stacks
879
Stacks
8.2K
Followers
1.3K
Followers
323
Votes
77
Votes
22
Pros & Cons
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    Support
  • 1
    ONLY Vertically Scalable
  • 1
    Difficult to scale
  • 1
    Low resilience to exceptions and interruptions
Pros
  • 5
    Based on Enterprise Integration Patterns
  • 4
    Free (open source)
  • 4
    Has over 250 components
  • 4
    Highly configurable
  • 3
    Open Source
Integrations
No integrations available
Spring Boot
Spring Boot

What are some alternatives to ActiveMQ, Apache Camel?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase