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  1. Stackups
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  4. Message Queue
  5. MediatR vs RabbitMQ

MediatR vs RabbitMQ

OverviewComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
MediatR
MediatR
Stacks134
Followers41
Votes0

MediatR vs RabbitMQ: What are the differences?

Introduction

In this document, we will discuss the key differences between MediatR and RabbitMQ. MediatR is a lightweight mediator library in .NET, while RabbitMQ is a messaging broker that allows for asynchronous communication between applications.

  1. Deployment: MediatR is typically deployed within the application codebase itself, allowing for easier setup and configuration. On the other hand, RabbitMQ requires a separate installation and configuration as it acts as a standalone messaging broker.

  2. Communication Pattern: MediatR follows a publish/subscribe pattern, where the publisher raises an event and multiple subscribers can handle it. It is primarily used for in-process communication. RabbitMQ, on the other hand, follows a message queue pattern, where messages are sent to a queue and subscribers consume them as they become available. It is designed for inter-process or distributed communication.

  3. Message Durability: In MediatR, if an event occurs and there are no subscribers at that moment, the event is lost. MediatR does not provide built-in message durability mechanisms like queuing or message reprocessing. RabbitMQ, on the other hand, guarantees message durability by persisting messages to disk, even if the subscribers are offline. This ensures reliable message delivery even in case of failures.

  4. Scalability and Load Balancing: MediatR is limited to in-process communication, which means it may not be suitable for distributed scenarios with multiple instances of an application. RabbitMQ, on the other hand, supports distributed communication and allows for scalability by enabling multiple instances of applications to consume messages from the same queue. It also provides load balancing capabilities by distributing messages across multiple consumers.

  5. Message Persistence: MediatR does not persist messages, as it is primarily used for in-memory event handling. RabbitMQ, on the other hand, persists messages to disk until they are consumed, ensuring reliable message delivery even in case of system failures or restarts.

  6. Message Routing: MediatR uses a centralized mediator that determines which handlers should handle a given message based on the message type. It does not allow for complex message routing scenarios. RabbitMQ, on the other hand, provides advanced routing capabilities through its exchange and binding mechanisms. Messages can be routed to specific queues based on various routing criteria, allowing for more flexibility in message processing.

In Summary, MediatR is a lightweight mediator library primarily used for in-process communication, while RabbitMQ is a messaging broker designed for inter-process or distributed communication, providing features like message durability, scalability, load balancing, message persistence, and advanced message routing capabilities.

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Detailed Comparison

RabbitMQ
RabbitMQ
MediatR
MediatR

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

It is a low-ambition library trying to solve a simple problem — decoupling the in-process sending of messages from handling messages. Cross-platform, supporting .NET Framework 4.6.1 and netstandard2.0.

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
Request/response messages, dispatched to a single handler; Notification messages, dispatched to multiple handlers
Statistics
GitHub Stars
13.2K
GitHub Stars
-
GitHub Forks
4.0K
GitHub Forks
-
Stacks
21.8K
Stacks
134
Followers
18.9K
Followers
41
Votes
558
Votes
0
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
No community feedback yet
Integrations
No integrations available
.NET
.NET

What are some alternatives to RabbitMQ, MediatR?

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.

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.

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.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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