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  4. Message Queue
  5. Azure Storage vs RabbitMQ

Azure Storage vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Azure Storage
Azure Storage
Stacks1.3K
Followers787
Votes52

Azure Storage vs RabbitMQ: What are the differences?

Key Differences between Azure Storage and RabbitMQ

Azure Storage and RabbitMQ are two popular technologies in the field of cloud computing and messaging systems. While they both serve different purposes, there are several key differences between them. The following paragraphs highlight these differences in detail.

  1. Scalability: Azure Storage is designed to provide scalable storage solutions for various types of data, including blobs, tables, queues, and files. It offers virtually unlimited storage capacity and can handle massive amounts of data. On the other hand, RabbitMQ is a messaging system that focuses on efficient message delivery between applications. It allows for the quick exchange of messages and can handle high message volumes, but it is not primarily designed to handle large amounts of data storage like Azure Storage.

  2. Data Persistence: Azure Storage is a robust and reliable storage solution that ensures data persistence by storing multiple copies of each data item across different nodes. It provides durability, availability, and data redundancy. RabbitMQ, on the other hand, does not persist messages by default. It stores messages in-memory until they are delivered to a consumer or acknowledged. If a RabbitMQ broker goes offline or crashes, any unacknowledged messages may be lost.

  3. Message Patterns: RabbitMQ is a message broker that enables communication between producer applications and consumer applications using various messaging patterns such as publish/subscribe, request/reply, and point-to-point. It supports complex routing and message filtering based on content and routing keys. Azure Storage, on the other hand, does not support such messaging patterns. It is mainly used for storing and retrieving data in a scalable manner rather than facilitating communication between applications.

  4. Message Durability: RabbitMQ provides message durability by allowing messages to be acknowledged by consumers. Once a consumer acknowledges the receipt of a message, RabbitMQ ensures that it is not lost even if the consumer crashes or goes offline temporarily. Azure Storage, on the other hand, does not have built-in message durability mechanisms. It focuses on data durability and reliability but does not specifically guarantee the durability of messages.

  5. Message Persistence: RabbitMQ allows messages to be persisted to disk, ensuring their availability even in the event of a broker restart or crash. Messages stored in durable queues survive broker restarts, while messages in non-durable queues may be lost. Azure Storage, on the other hand, stores data persistently by default, and there is no need for additional configuration for data durability.

  6. Protocol Support: RabbitMQ uses the Advanced Message Queuing Protocol (AMQP) as its messaging protocol. This protocol is widely supported by various programming languages and platforms. Azure Storage, on the other hand, provides RESTful APIs that can be accessed over HTTP or HTTPS. This makes it easier to integrate with web applications and other cloud services that use HTTP-based protocols.

In summary, Azure Storage and RabbitMQ have significant differences in terms of their purpose, scalability, data persistence, messaging patterns, and protocol support. While Azure Storage focuses on scalable data storage and retrieval, RabbitMQ is a messaging system that facilitates reliable message exchange between applications using various messaging patterns.

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Advice on RabbitMQ, Azure Storage

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
Pulkit
Pulkit

Software Engineer

Oct 30, 2020

Needs adviceonDjangoDjangoAmazon SQSAmazon SQSRabbitMQRabbitMQ

Hi! I am creating a scraping system in Django, which involves long running tasks between 1 minute & 1 Day. As I am new to Message Brokers and Task Queues, I need advice on which architecture to use for my system. ( Amazon SQS, RabbitMQ, or Celery). The system should be autoscalable using Kubernetes(K8) based on the number of pending tasks in the queue.

474k views474k
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

Detailed Comparison

RabbitMQ
RabbitMQ
Azure Storage
Azure Storage

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

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

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
Blobs, Tables, Queues, and Files;Highly scalable;Durable & highly available;Premium Storage;Designed for developers
Statistics
GitHub Stars
13.2K
GitHub Stars
-
GitHub Forks
4.0K
GitHub Forks
-
Stacks
21.8K
Stacks
1.3K
Followers
18.9K
Followers
787
Votes
558
Votes
52
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
  • 24
    All-in-one storage solution
  • 15
    Pay only for data used regardless of disk size
  • 9
    Shared drive mapping
  • 2
    Cost-effective
  • 2
    Cheapest hot and cloud storage
Cons
  • 2
    Direct support is not provided by Azure storage
Integrations
No integrations available
Microsoft Azure
Microsoft Azure

What are some alternatives to RabbitMQ, Azure Storage?

Amazon S3

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

Kafka

Kafka

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

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.

Amazon EBS

Amazon EBS

Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.

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.

Google Cloud Storage

Google Cloud Storage

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.

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.

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