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  4. Message Queue
  5. Azure Functions vs RabbitMQ

Azure Functions vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Azure Functions
Azure Functions
Stacks785
Followers705
Votes62

Azure Functions vs RabbitMQ: What are the differences?

  1. Scalability: Azure Functions provides a serverless computing platform, which means it automatically scales up or down based on demand. RabbitMQ, on the other hand, is a message broker that facilitates communication between different systems. While Azure Functions can handle a large number of requests by scaling horizontally, RabbitMQ achieves scalability by distributing messages among multiple queues and consumers.

  2. Event-driven architecture: Azure Functions is designed to respond to triggers and events, such as HTTP requests or changes in Azure services. It allows developers to write small, single-purpose functions that execute in response to these events. RabbitMQ, on the other hand, follows a publish-subscribe model where messages are sent to exchanges and then routed to different queues based on bindings. Consumers can subscribe to these queues and process the messages asynchronously.

  3. Managed Service vs. Self-hosted: Azure Functions is a managed service provided by Microsoft, which means the infrastructure, patching, and scaling are all handled by Azure. On the contrary, RabbitMQ is a messaging middleware that needs to be deployed and managed by the users themselves. While Azure Functions abstracts away the underlying infrastructure, RabbitMQ requires setting up and maintaining the message broker infrastructure.

  4. Protocol Support: Azure Functions supports a variety of protocols for triggering the functions, such as HTTP, timer, or Azure Storage events. It can also integrate with other Azure services through bindings. RabbitMQ primarily uses the Advanced Message Queuing Protocol (AMQP) for communication, which is a reliable and widely adopted messaging protocol. Additionally, RabbitMQ supports other protocols like MQTT and STOMP.

  5. Function Runtime: Azure Functions runs on the .NET runtime, but it supports multiple programming languages like C#, JavaScript, PowerShell, Python, and Java. Developers can choose the language of their preference to write the functions. RabbitMQ, on the other hand, is a message broker that can be used with various programming languages as it follows the messaging patterns and protocols.

  6. Deployment and Maintenance: Azure Functions can be easily deployed and managed through Azure portal, command-line tools, or CI/CD pipelines. The scalability and availability are automatically handled by Azure. On the other hand, RabbitMQ requires manual installation and configuration on servers or containers. It needs ongoing maintenance to ensure high availability, security, and performance.

In Summary, Azure Functions is a managed serverless computing platform with event-driven architecture, supporting multiple protocols and languages, while RabbitMQ is a self-hosted message broker that provides scalability, flexibility, and multiple language support for building distributed systems.

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Advice on RabbitMQ, Azure Functions

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
Meili
Meili

Software engineer at Digital Science

Sep 24, 2020

Needs adviceonZeroMQZeroMQRabbitMQRabbitMQAmazon SQSAmazon SQS

Hi, we are in a ZMQ set up in a push/pull pattern, and we currently start to have more traffic and cases that the service is unavailable or stuck. We want to:

  • Not loose messages in services outages
  • Safely restart service without losing messages (@{ZeroMQ}|tool:1064| seems to need to close the socket in the receiver before restart manually)

Do you have experience with this setup with ZeroMQ? Would you suggest RabbitMQ or Amazon SQS (we are in AWS setup) instead? Something else?

Thank you for your time

500k views500k
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

Detailed Comparison

RabbitMQ
RabbitMQ
Azure Functions
Azure Functions

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

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

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
Easily schedule event-driven tasks across services;Expose Functions as HTTP API endpoints;Scale Functions based on customer demand;Develop how you want, using a browser-based UI or existing tools;Get continuous deployment, remote debugging, and authentication out of the box
Statistics
GitHub Stars
13.2K
GitHub Stars
-
GitHub Forks
4.0K
GitHub Forks
-
Stacks
21.8K
Stacks
785
Followers
18.9K
Followers
705
Votes
558
Votes
62
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
  • 14
    Pay only when invoked
  • 11
    Great developer experience for C#
  • 9
    Multiple languages supported
  • 7
    Great debugging support
  • 5
    Can be used as lightweight https service
Cons
  • 1
    No persistent (writable) file system available
  • 1
    Poor support for Linux environments
  • 1
    Not suited for long-running applications
  • 1
    Sporadic server & language runtime issues
Integrations
No integrations available
Azure DevOps
Azure DevOps
Java
Java
Bitbucket
Bitbucket
Node.js
Node.js
Microsoft Azure
Microsoft Azure
GitHub
GitHub
Visual Studio Code
Visual Studio Code
JavaScript
JavaScript
Azure Cosmos DB
Azure Cosmos DB
C#
C#

What are some alternatives to RabbitMQ, Azure Functions?

Kafka

Kafka

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

AWS Lambda

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

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.

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.

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.

ActiveMQ

ActiveMQ

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.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Google Cloud Run

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

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