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

RabbitMQ vs nanomsg

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
nanomsg
nanomsg
Stacks10
Followers29
Votes0

RabbitMQ vs nanomsg: What are the differences?

## Introduction

1. **Message Queuing Model**: RabbitMQ follows the Advanced Message Queuing Protocol (AMQP) while nanomsg follows its own lightweight messaging protocol which is simpler and more efficient.
2. **Supported Protocols**: RabbitMQ supports multiple messaging protocols like AMQP, MQTT, and STOMP, while nanomsg primarily uses its own custom protocol.
3. **Message Routing**: RabbitMQ supports complex routing scenarios with features like topic exchanges and direct exchanges, while nanomsg primarily focuses on simple point-to-point messaging.
4. **Persistence**: RabbitMQ provides options for message persistence to disk, ensuring messages are not lost in case of failure, while nanomsg typically operates in-memory and may not provide persistence by default.
5. **Language Support**: RabbitMQ has client libraries available in various languages like Java, Python, and Ruby, while nanomsg may have more limited language support or community-contributed libraries.
6. **Community and Support**: RabbitMQ has a larger and more established community along with commercial support options, whereas nanomsg may have a smaller community and limited official support resources.

## Summary

In Summary, RabbitMQ and nanomsg differ in terms of supported protocols, message routing capabilities, persistence options, language support, and community resources.

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Advice on RabbitMQ, nanomsg

viradiya
viradiya

Apr 12, 2020

Needs adviceonAngularJSAngularJSASP.NET CoreASP.NET CoreMSSQLMSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k
Comments
André
André

Technology Manager at GS1 Portugal - Codipor

Jul 30, 2020

Needs adviceon.NET Core.NET Core

Hello dear developers, our company is starting a new project for a new Web App, and we are currently designing the Architecture (we will be using .NET Core). We want to embark on something new, so we are thinking about migrating from a monolithic perspective to a microservices perspective. We wish to containerize those microservices and make them independent from each other. Is it the best way for microservices to communicate with each other via ESB, or is there a new way of doing this? Maybe complementing with an API Gateway? Can you recommend something else different than the two tools I provided?

We want something good for Cost/Benefit; performance should be high too (but not the primary constraint).

Thank you very much in advance :)

461k views461k
Comments
mediafinger
mediafinger

Feb 13, 2019

ReviewonKafkaKafkaRabbitMQRabbitMQ

The question for which Message Queue to use mentioned "availability, distributed, scalability, and monitoring". I don't think that this excludes many options already. I does not sound like you would take advantage of Kafka's strengths (replayability, based on an even sourcing architecture). You could pick one of the AMQP options.

I would recommend the RabbitMQ message broker, which not only implements the AMQP standard 0.9.1 (it can support 1.x or other protocols as well) but has also several very useful extensions built in. It ticks the boxes you mentioned and on top you will get a very flexible system, that allows you to build the architecture, pick the options and trade-offs that suite your case best.

For more information about RabbitMQ, please have a look at the linked markdown I assembled. The second half explains many configuration options. It also contains links to managed hosting and to libraries (though it is missing Python's - which should be Puka, I assume).

159k views159k
Comments

Detailed Comparison

RabbitMQ
RabbitMQ
nanomsg
nanomsg

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 socket library that provides several common communication patterns. It aims to make the networking layer fast, scalable, and easy to use. Implemented in C, it works on a wide range of operating systems with no further dependencies.

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
Makes networking layer fast; Works on a wide range of operating systems
Statistics
GitHub Stars
13.2K
GitHub Stars
-
GitHub Forks
4.0K
GitHub Forks
-
Stacks
21.8K
Stacks
10
Followers
18.9K
Followers
29
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
Python
Python
JavaScript
JavaScript
C++
C++
.NET
.NET
Node.js
Node.js
Java
Java
PHP
PHP
Perl
Perl
Ruby
Ruby
Rust
Rust

What are some alternatives to RabbitMQ, nanomsg?

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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