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  1. Stackups
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  5. MediatR vs NServiceBus

MediatR vs NServiceBus

OverviewComparisonAlternatives

Overview

NServiceBus
NServiceBus
Stacks76
Followers132
Votes2
MediatR
MediatR
Stacks134
Followers41
Votes0

MediatR vs NServiceBus: What are the differences?

Introduction

This Markdown code presents the key differences between MediatR and NServiceBus. Both MediatR and NServiceBus are popular frameworks used in building applications. While they serve similar purposes, there are distinct differences that set them apart.

  1. Message Patterns: MediatR follows the Request-Response pattern, where a single request object is sent to a single handler, and a single response is returned. On the other hand, NServiceBus provides support for more message patterns such as Publish-Subscribe and Event Sourcing, allowing for more complex communication scenarios.

  2. Scalability: MediatR is primarily focused on handling messages within a single process or application, making it suitable for small to medium-scale applications. NServiceBus, on the other hand, is built with scalability and distributed systems in mind, allowing for communication between different applications and microservices, making it suitable for large-scale applications.

  3. Transport Options: MediatR does not provide built-in support for message transports and requires a third-party library or custom implementation for sending messages between processes. In contrast, NServiceBus offers various transport options out of the box, such as RabbitMQ, Azure Service Bus, or MSMQ, making it easier to send messages between different applications and systems.

  4. Error Handling: MediatR handles exceptions in a synchronous manner, where any exceptions thrown during message handling are immediately propagated back to the caller. NServiceBus, however, provides more advanced error handling capabilities, such as automatic retries, dead-letter queues, and the ability to handle transient errors. This makes it more resilient and reliable, especially in distributed systems.

  5. Middleware and Behaviors: MediatR provides a simpler and lightweight approach to adding middleware and behaviors to the message pipeline. It offers a straightforward pipeline approach, making it easy to add cross-cutting concerns like logging or validation. In contrast, NServiceBus offers a more extensive and configurable middleware pipeline called the IManageUnitsOfWork pipeline, which allows for more complex processing and integration scenarios.

  6. Tooling and Ecosystem: MediatR is a lightweight and flexible framework with less opinionated tooling. It has a smaller ecosystem but is generally easy to get started with, particularly for simple scenarios. NServiceBus, on the other hand, provides a more comprehensive set of tools and features out of the box, including monitoring, diagnostics, and advanced message routing capabilities. It also has a larger community and active support from Particular Software, the company behind NServiceBus.

In summary, MediatR and NServiceBus provide different capabilities and are suitable for different scenarios. MediatR is more lightweight and focused on simplifying in-process message handling, while NServiceBus offers more extensive features and scalability, making it ideal for building distributed systems.

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Detailed Comparison

NServiceBus
NServiceBus
MediatR
MediatR

Performance, scalability, pub/sub, reliable integration, workflow orchestration, and everything else you could possibly want in a service bus.

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.

-
Request/response messages, dispatched to a single handler; Notification messages, dispatched to multiple handlers
Statistics
Stacks
76
Stacks
134
Followers
132
Followers
41
Votes
2
Votes
0
Pros & Cons
Pros
  • 1
    Not as good as alternatives, good job security
  • 1
    Brings on-prem issues to the cloud
No community feedback yet
Integrations
No integrations available
.NET
.NET

What are some alternatives to NServiceBus, 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.

RabbitMQ

RabbitMQ

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

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.

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