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  5. Kestrel vs Owin

Kestrel vs Owin

OverviewComparisonAlternatives

Overview

Kestrel
Kestrel
Stacks37
Followers58
Votes0
Owin
Owin
Stacks867
Followers20
Votes0
GitHub Stars156
Forks47

Kestrel vs Owin: What are the differences?

Introduction

Kestrel and Owin are both used in web development, but they have some key differences that developers should be aware of. In this article, we will explore these differences to help you understand when and where to use each framework.

  1. Performance: Kestrel is designed to be a high-performance web server, specifically optimized for ASP.NET Core applications. It is built on top of Libuv, a cross-platform asynchronous I/O library. On the other hand, Owin is a specification that defines an interface between web servers and web applications, but it doesn't provide its own server implementation. This means that the performance of Owin applications largely depends on the chosen server implementation.

  2. Host Requirements: Kestrel doesn't require a separate web server as it can be self-hosted, making it a lightweight option for hosting ASP.NET Core applications. Owin, on the other hand, requires a compatible web server that implements the Owin specification. This means that to run an Owin application, you need to have a separate web server installed and configured.

  3. Implementation Flexibility: Kestrel is tightly integrated with ASP.NET Core, providing a fully integrated web server solution. It supports features like HTTPS, request filtering, and middleware pipelines out of the box. Owin, on the other hand, provides a more flexible implementation approach. It allows developers to choose from multiple server implementations and customize the middleware pipeline according to their specific needs.

  4. Compatibility: Kestrel is specifically designed for running ASP.NET Core applications and is fully compatible with the ASP.NET Core framework. Owin, on the other hand, is not tied to a specific framework and can be used with any .NET-based web application framework. This allows developers to reuse existing Owin middleware components across different frameworks and platforms.

  5. Community Support: Kestrel is the recommended server for hosting ASP.NET Core applications and has a large community of developers contributing to its development and providing support. Owin, on the other hand, has a smaller community compared to Kestrel. This means that finding resources, tutorials, and community support for Kestrel might be easier compared to Owin.

  6. Platform Dependencies: Kestrel is a cross-platform web server that runs on Windows, Linux, and macOS, making it highly versatile. Owin, on the other hand, depends on the chosen server implementation, and not all server implementations might be available on all platforms. This means that the portability of Owin applications might be limited depending on the chosen server implementation.

In summary, Kestrel is a high-performance, self-hosted web server specifically designed for ASP.NET Core applications, while Owin is a specification that defines an interface between web servers and web applications. Kestrel provides better performance, tighter integration with ASP.NET Core, and platform independence compared to Owin, but Owin offers more implementation flexibility and compatibility with different web application frameworks.

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Detailed Comparison

Kestrel
Kestrel
Owin
Owin

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 standard for an interface between .NET Web applications and Web servers. It is a community-owned open-source project.

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
-
Statistics
GitHub Stars
-
GitHub Stars
156
GitHub Forks
-
GitHub Forks
47
Stacks
37
Stacks
867
Followers
58
Followers
20
Votes
0
Votes
0
Integrations
No integrations available
.NET
.NET
.NET Core
.NET Core
ASP.NET
ASP.NET

What are some alternatives to Kestrel, Owin?

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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