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  4. Message Queue
  5. Apache Camel vs RabbitMQ

Apache Camel vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Apache Camel
Apache Camel
Stacks8.2K
Followers323
Votes22
GitHub Stars6.0K
Forks5.1K

Apache Camel vs RabbitMQ: What are the differences?

Introduction

In this article, we will discuss the key differences between Apache Camel and RabbitMQ, both of which are widely used in the field of enterprise integration.

  1. Message routing: Apache Camel is an open-source integration framework that provides a variety of routing patterns and components to facilitate message-based integration. It allows developers to define routes and transform data between different systems. On the other hand, RabbitMQ is a message broker that implements the Advanced Message Queuing Protocol (AMQP). It provides a reliable way of exchanging messages between applications or services, ensuring message delivery even in the presence of network failures.

  2. Protocol Support: Apache Camel supports a wide range of protocols and data formats, including HTTP, FTP, JMS, AMQP, MQTT, and more. It allows seamless integration with different systems, making it flexible and versatile. RabbitMQ, on the other hand, primarily focuses on the AMQP protocol. It provides an implementation of the AMQP standard, which is a robust and efficient protocol for message-oriented middleware.

  3. Message Transformation: Apache Camel provides extensive support for message transformation and data mapping. It allows developers to define custom processors and transformers to modify the content and structure of messages as they flow through the integration routes. In contrast, RabbitMQ mainly focuses on message delivery and reliability rather than message transformation. It does not provide built-in features for message transformation, but it can be integrated with other tools or frameworks to achieve the desired transformation.

  4. Scalability and Clustering: Apache Camel is a lightweight framework that can be embedded within a Java application or deployed as a standalone service. It provides flexibility in terms of deployment options and can be scaled horizontally by deploying multiple instances to handle larger workloads. On the other hand, RabbitMQ is designed to be highly scalable and supports clustering out of the box. It enables the distribution of message queues and workload among multiple nodes, providing high availability and fault tolerance.

  5. Message Persistence: Apache Camel does not provide built-in support for message persistence. It relies on the underlying messaging system or components to handle message storage and durability. RabbitMQ, on the other hand, offers message persistence by storing messages on disk or in memory, ensuring that messages are not lost even in the event of system failures or restarts.

  6. Message Ordering: Apache Camel does not guarantee strict message ordering by default. It allows concurrent processing of messages, which may result in out-of-order delivery. However, developers can implement custom logic to enforce message ordering if required. RabbitMQ, on the other hand, ensures message ordering within a single queue using the first-in-first-out (FIFO) principle. Messages are delivered to consumers in the order they were published.

In summary, Apache Camel provides a flexible integration framework with extensive protocol support and message transformation capabilities. It focuses on message routing and transformation, allowing seamless integration between different systems. On the other hand, RabbitMQ is a robust message broker that provides reliable message delivery, scalability, and clustering capabilities. It primarily focuses on the AMQP protocol and ensures message persistence and ordering within a queue.

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Advice on RabbitMQ, Apache Camel

viradiya
viradiya

Apr 12, 2020

Needs adviceonAngularJSAngularJSASP.NET CoreASP.NET CoreMSSQLMSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k
Comments
André
André

Technology Manager at GS1 Portugal - Codipor

Jul 30, 2020

Needs adviceon.NET Core.NET Core

Hello dear developers, our company is starting a new project for a new Web App, and we are currently designing the Architecture (we will be using .NET Core). We want to embark on something new, so we are thinking about migrating from a monolithic perspective to a microservices perspective. We wish to containerize those microservices and make them independent from each other. Is it the best way for microservices to communicate with each other via ESB, or is there a new way of doing this? Maybe complementing with an API Gateway? Can you recommend something else different than the two tools I provided?

We want something good for Cost/Benefit; performance should be high too (but not the primary constraint).

Thank you very much in advance :)

461k views461k
Comments
mediafinger
mediafinger

Feb 13, 2019

ReviewonKafkaKafkaRabbitMQRabbitMQ

The question for which Message Queue to use mentioned "availability, distributed, scalability, and monitoring". I don't think that this excludes many options already. I does not sound like you would take advantage of Kafka's strengths (replayability, based on an even sourcing architecture). You could pick one of the AMQP options.

I would recommend the RabbitMQ message broker, which not only implements the AMQP standard 0.9.1 (it can support 1.x or other protocols as well) but has also several very useful extensions built in. It ticks the boxes you mentioned and on top you will get a very flexible system, that allows you to build the architecture, pick the options and trade-offs that suite your case best.

For more information about RabbitMQ, please have a look at the linked markdown I assembled. The second half explains many configuration options. It also contains links to managed hosting and to libraries (though it is missing Python's - which should be Puka, I assume).

159k views159k
Comments

Detailed Comparison

RabbitMQ
RabbitMQ
Apache Camel
Apache Camel

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

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

Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported
-
Statistics
GitHub Stars
13.2K
GitHub Stars
6.0K
GitHub Forks
4.0K
GitHub Forks
5.1K
Stacks
21.8K
Stacks
8.2K
Followers
18.9K
Followers
323
Votes
558
Votes
22
Pros & Cons
Pros
  • 235
    It's fast and it works with good metrics/monitoring
  • 80
    Ease of configuration
  • 60
    I like the admin interface
  • 52
    Easy to set-up and start with
  • 22
    Durable
Cons
  • 9
    Too complicated cluster/HA config and management
  • 6
    Needs Erlang runtime. Need ops good with Erlang runtime
  • 5
    Configuration must be done first, not by your code
  • 4
    Slow
Pros
  • 5
    Based on Enterprise Integration Patterns
  • 4
    Free (open source)
  • 4
    Highly configurable
  • 4
    Has over 250 components
  • 3
    Open Source
Integrations
No integrations available
Spring Boot
Spring Boot

What are some alternatives to RabbitMQ, 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.

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.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

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