MediatR vs ZeroMQ

Overview

ZeroMQ

Stacks258

Followers586

Votes71

GitHub Stars10.6K

Forks2.5K

MediatR

Stacks134

Followers41

Votes0

MediatR vs ZeroMQ: What are the differences?

Implementation Focus: MediatR is primarily used for implementing the mediator pattern within an application, providing a way to decouple message senders and receivers. In contrast, ZeroMQ is a more generalized messaging library that supports various messaging patterns such as publish/subscribe, request/reply, and push/pull.
Performance: ZeroMQ is known for its high-performance messaging capabilities, designed for scenarios where low latency and high throughput are crucial. MediatR, on the other hand, does not prioritize performance optimizations to the same extent as ZeroMQ, as its primary focus is on simplifying the implementation of the mediator pattern.
Messaging Patterns: While both frameworks support messaging, ZeroMQ provides a wider range of messaging patterns and more flexibility in how messages can be sent and received. MediatR, on the other hand, is more limited in terms of messaging patterns and is specifically tailored for implementing the mediator pattern.
Supported Languages: ZeroMQ is implemented in multiple languages, allowing for cross-language communication between different components of an application or system. MediatR, on the other hand, is primarily focused on the .NET ecosystem and may not have the same level of language support as ZeroMQ.
Community and Ecosystem: ZeroMQ has a larger and more diverse community with extensive documentation, tutorials, and third-party integrations available. MediatR, while popular within the .NET community, may have a more limited ecosystem and community support compared to ZeroMQ.
Scalability: ZeroMQ is designed to be highly scalable and can handle large volumes of messages efficiently across distributed systems. MediatR, being more focused on the mediator pattern within a single application, may not offer the same level of scalability as ZeroMQ in distributed environments.

In Summary, MediatR is tailored for implementing the mediator pattern within an application, while ZeroMQ is a high-performance messaging library with support for various messaging patterns and languages, alongside scalability and a larger community.

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CLI (Node.js)

Manual

Detailed Comparison

ZeroMQ	MediatR
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.	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.
Connect your code in any language, on any platform.;Carries messages across inproc, IPC, TCP, TPIC, multicast.;Smart patterns like pub-sub, push-pull, and router-dealer.;High-speed asynchronous I/O engines, in a tiny library.;Backed by a large and active open source community.;Supports every modern language and platform.;Build any architecture: centralized, distributed, small, or large.;Free software with full commercial support.	Request/response messages, dispatched to a single handler; Notification messages, dispatched to multiple handlers
Statistics
GitHub Stars 10.6K	GitHub Stars -
GitHub Forks 2.5K	GitHub Forks -
Stacks 258	Stacks 134
Followers 586	Followers 41
Votes 71	Votes 0
Pros & Cons
Pros 23 Fast 20 Lightweight 11 Transport agnostic 7 No broker required 4 Low level APIs are in C Cons 5 No message durability 3 Not a very reliable system - message delivery wise 1 M x N problem with M producers and N consumers	No community feedback yet
Integrations
No integrations available	.NET

What are some alternatives to ZeroMQ, MediatR?

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

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

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.

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.

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 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

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

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.

Related Comparisons

MediatR vs ZeroMQ: What are the differences?

Implementation Focus: MediatR is primarily used for implementing the mediator pattern within an application, providing a way to decouple message senders and receivers. In contrast, ZeroMQ is a more generalized messaging library that supports various messaging patterns such as publish/subscribe, request/reply, and push/pull.
Performance: ZeroMQ is known for its high-performance messaging capabilities, designed for scenarios where low latency and high throughput are crucial. MediatR, on the other hand, does not prioritize performance optimizations to the same extent as ZeroMQ, as its primary focus is on simplifying the implementation of the mediator pattern.
Messaging Patterns: While both frameworks support messaging, ZeroMQ provides a wider range of messaging patterns and more flexibility in how messages can be sent and received. MediatR, on the other hand, is more limited in terms of messaging patterns and is specifically tailored for implementing the mediator pattern.
Supported Languages: ZeroMQ is implemented in multiple languages, allowing for cross-language communication between different components of an application or system. MediatR, on the other hand, is primarily focused on the .NET ecosystem and may not have the same level of language support as ZeroMQ.
Community and Ecosystem: ZeroMQ has a larger and more diverse community with extensive documentation, tutorials, and third-party integrations available. MediatR, while popular within the .NET community, may have a more limited ecosystem and community support compared to ZeroMQ.
Scalability: ZeroMQ is designed to be highly scalable and can handle large volumes of messages efficiently across distributed systems. MediatR, being more focused on the mediator pattern within a single application, may not offer the same level of scalability as ZeroMQ in distributed environments.

MediatR vs ZeroMQ

Overview