StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. Kestrel vs MediatR

Kestrel vs MediatR

OverviewComparisonAlternatives

Overview

Kestrel
Kestrel
Stacks37
Followers58
Votes0
MediatR
MediatR
Stacks134
Followers41
Votes0

Kestrel vs MediatR: What are the differences?

# Introduction

Kestrel and MediatR are two popular libraries in the .NET ecosystem that serve different purposes and have specific use cases. Here are the key differences between Kestrel and MediatR:

1. **Purpose**:
   Kestrel is a cross-platform web server that is used as the default web server in ASP.NET Core applications. It is optimized for handling HTTP requests and is designed for high performance. On the other hand, MediatR is a simple mediator pattern implementation for .NET that helps in implementing the mediator pattern in various applications. It helps in reducing the coupling between request handlers and the classes that send requests.

2. **Usage**:
   Kestrel is used to handle and process HTTP requests in web applications, acting as the entry point for all incoming requests. It is responsible for listening to network requests and passing them to the ASP.NET Core pipeline for processing. In contrast, MediatR is used for implementing the mediator pattern, where it acts as a middleman between classes that send requests and classes that handle those requests. It simplifies the flow of communication between objects by centralizing it through the mediator.

3. **Implementation**:
   Kestrel is a part of the ASP.NET Core ecosystem and is typically integrated into ASP.NET Core applications through the hosting process. It is configured and used alongside other components of the ASP.NET Core framework. On the other hand, MediatR is a standalone library that can be added to any .NET application without dependencies on specific frameworks. It provides a lightweight implementation of the mediator pattern that can be easily integrated into existing codebases.

4. **Concurrency**:
   Kestrel is optimized for handling a large number of concurrent connections efficiently. It utilizes asynchronous programming techniques to ensure that incoming requests are processed in a non-blocking manner, allowing for scalability in handling multiple requests simultaneously. In contrast, MediatR does not directly deal with concurrency in terms of handling incoming requests. It focuses more on simplifying the communication flow between components without concerns for parallel processing.

5. **Dependency Injection**:
   Kestrel does not provide direct support for dependency injection within its core functionality. Developers need to rely on the ASP.NET Core dependency injection container for injecting dependencies into various components of the application. On the other hand, MediatR integrates seamlessly with dependency injection containers in .NET applications, allowing for easy registration and resolution of dependencies required by request handlers and mediators.

6. **Extensibility**:
   Kestrel, being a web server, is primarily focused on handling HTTP requests and providing a platform for web application development. Its extensibility is centered around integrating with ASP.NET Core components and middleware for enhancing web server functionalities. On the other hand, MediatR is extensible in terms of adding custom behaviors, pipelines, and decorators to modify the request handling process. Developers can extend MediatR's capabilities through custom implementations to suit specific application requirements.

# In Summary, Kestrel and MediatR serve distinct purposes in the .NET ecosystem, with Kestrel focusing on web server functionality and performance optimization for handling HTTP requests, while MediatR simplifies communication between components through the mediator pattern implementation, offering flexibility and decoupling in application design.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Kestrel
Kestrel
MediatR
MediatR

Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.

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.

Written by Robey Pointer;Starling clone written in Scala (a port of Starling from Ruby to Scala);Queues are stored in memory, but logged on disk
Request/response messages, dispatched to a single handler; Notification messages, dispatched to multiple handlers
Statistics
Stacks
37
Stacks
134
Followers
58
Followers
41
Votes
0
Votes
0
Integrations
No integrations available
.NET
.NET

What are some alternatives to Kestrel, 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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase