RabbitMQ vs SignalR

Overview

RabbitMQ

Stacks21.8K

Followers18.9K

Votes558

GitHub Stars13.2K

Forks4.0K

SignalR

Stacks656

Followers1.2K

Votes146

GitHub Stars9.3K

Forks2.3K

RabbitMQ vs SignalR: What are the differences?

RabbitMQ is a message broker that allows applications to communicate by sending and receiving messages, while SignalR is a real-time web framework used for building interactive web applications. Now let's explore the key differences between these two technologies:

Scalability: RabbitMQ is designed to handle large amounts of messages and can scale horizontally by adding more nodes to a cluster. It uses a message queueing system that ensures reliable message delivery and load balancing. SignalR, on the other hand, is primarily used for real-time communication between a client and a server, making it more suitable for small to medium-sized applications.
Communication Pattern: RabbitMQ follows a publish-subscribe model where publishers send messages to exchanges, which are then distributed to queues. Consumers can subscribe to these queues to receive the messages. SignalR, on the other hand, uses a hub to establish a connection between clients and servers. Clients can send messages to the server, and the server can broadcast messages to all connected clients or specific groups of clients.
Transport: RabbitMQ uses the Advanced Message Queuing Protocol (AMQP) as its transport protocol. AMQP is a binary wire protocol designed for interoperability between different systems. SignalR uses websockets as its primary transport, which provides a full-duplex communication channel over a single TCP connection. It also falls back to other transport mechanisms like Server-Sent Events (SSE) or Long Polling, depending on the client's capabilities.
Reliability: RabbitMQ ensures reliable message delivery by persisting messages to disk and supporting different message acknowledgment modes. It also provides features like publisher confirms and consumer acknowledgments. SignalR, on the other hand, relies on the underlying transport mechanisms for message delivery. It doesn't guarantee the delivery of every message, but it provides a reliable real-time connection and handles reconnecting automatically.
Language Support: RabbitMQ has official client libraries available for multiple programming languages, including Java, .NET, Python, Ruby, and more. This wide language support makes it easy for developers to integrate RabbitMQ into their applications regardless of the programming language they are using. SignalR is mainly used with .NET technologies and has official client libraries for .NET platforms like ASP.NET and Xamarin.
Use Cases: RabbitMQ is commonly used in scenarios where reliable message delivery and scalable message queuing are required. It is used in distributed systems, microservices architectures, and decoupled application components. SignalR, on the other hand, is used for building real-time applications that require bidirectional communication between clients and servers. It is often used in chat applications, collaborative tools, and real-time dashboards.

In summary, RabbitMQ excels in scalable message queuing and reliable message delivery, making it suitable for distributed systems and microservices architectures. SignalR, on the other hand, is focused on real-time communication between clients and servers, making it ideal for building interactive web applications.

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CLI (Node.js)

Manual

Advice on RabbitMQ, SignalR

viradiya

Apr 12, 2020

Needs adviceon

AngularJS

ASP.NET Core

MSSQL

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

Technology Manager at GS1 Portugal - Codipor

Jul 30, 2020

Needs adviceon

.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

Feb 13, 2019

Reviewon

Kafka

RabbitMQ

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	SignalR
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.	SignalR allows bi-directional communication between server and client. Servers can now push content to connected clients instantly as it becomes available. SignalR supports Web Sockets, and falls back to other compatible techniques for older browsers. SignalR includes APIs for connection management (for instance, connect and disconnect events), grouping connections, and authorization.
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 9.3K
GitHub Forks 4.0K	GitHub Forks 2.3K
Stacks 21.8K	Stacks 656
Followers 18.9K	Followers 1.2K
Votes 558	Votes 146
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 32 Supports .NET server 25 Real-time 18 Free 16 Fallback to SSE, forever frame, long polling 15 WebSockets Cons 2 Expertise hard to get 2 Requires jQuery 1 Weak iOS and Android support 1 Big differences between ASP.NET and Core versions
Integrations
No integrations available	.NET

What are some alternatives to RabbitMQ, SignalR?

Firebase

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

Socket.IO

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

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

PubNub

PubNub makes it easy for you to add real-time capabilities to your apps, without worrying about the infrastructure. Build apps that allow your users to engage in real-time across mobile, browser, desktop and server.

Pusher

Pusher is the category leader in delightful APIs for app developers building communication and collaboration features.

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 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.

Ably

Ably offers WebSockets, stream resume, history, presence, and managed third-party integrations to make it simple to build, extend, and deliver digital realtime experiences at scale.

Syncano

Syncano is a backend platform to build powerful real-time apps more efficiently. Integrate with any API, minimize boilerplate code and control your data - all from one place.

Related Comparisons

RabbitMQ vs SignalR: What are the differences?

Scalability: RabbitMQ is designed to handle large amounts of messages and can scale horizontally by adding more nodes to a cluster. It uses a message queueing system that ensures reliable message delivery and load balancing. SignalR, on the other hand, is primarily used for real-time communication between a client and a server, making it more suitable for small to medium-sized applications.
Communication Pattern: RabbitMQ follows a publish-subscribe model where publishers send messages to exchanges, which are then distributed to queues. Consumers can subscribe to these queues to receive the messages. SignalR, on the other hand, uses a hub to establish a connection between clients and servers. Clients can send messages to the server, and the server can broadcast messages to all connected clients or specific groups of clients.
Transport: RabbitMQ uses the Advanced Message Queuing Protocol (AMQP) as its transport protocol. AMQP is a binary wire protocol designed for interoperability between different systems. SignalR uses websockets as its primary transport, which provides a full-duplex communication channel over a single TCP connection. It also falls back to other transport mechanisms like Server-Sent Events (SSE) or Long Polling, depending on the client's capabilities.
Reliability: RabbitMQ ensures reliable message delivery by persisting messages to disk and supporting different message acknowledgment modes. It also provides features like publisher confirms and consumer acknowledgments. SignalR, on the other hand, relies on the underlying transport mechanisms for message delivery. It doesn't guarantee the delivery of every message, but it provides a reliable real-time connection and handles reconnecting automatically.
Language Support: RabbitMQ has official client libraries available for multiple programming languages, including Java, .NET, Python, Ruby, and more. This wide language support makes it easy for developers to integrate RabbitMQ into their applications regardless of the programming language they are using. SignalR is mainly used with .NET technologies and has official client libraries for .NET platforms like ASP.NET and Xamarin.
Use Cases: RabbitMQ is commonly used in scenarios where reliable message delivery and scalable message queuing are required. It is used in distributed systems, microservices architectures, and decoupled application components. SignalR, on the other hand, is used for building real-time applications that require bidirectional communication between clients and servers. It is often used in chat applications, collaborative tools, and real-time dashboards.

RabbitMQ vs SignalR

Overview