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  4. Message Queue
  5. ZeroMQ vs nanomsg

ZeroMQ vs nanomsg

OverviewComparisonAlternatives

Overview

ZeroMQ
ZeroMQ
Stacks258
Followers586
Votes71
GitHub Stars10.6K
Forks2.5K
nanomsg
nanomsg
Stacks10
Followers29
Votes0

ZeroMQ vs nanomsg: What are the differences?

Introduction

ZeroMQ and nanomsg are both messaging libraries that provide high-performance, asynchronous communication between applications. While they share similar goals and concepts, there are several key differences between ZeroMQ and nanomsg that set them apart.

  1. Compatibility: ZeroMQ is compatible with a wide range of programming languages, including C, C++, Python, and Java, while nanomsg has a more limited language support, primarily focusing on C, C++, and Python.

  2. Transport Protocols: ZeroMQ supports a variety of transport protocols, such as TCP, in-process, inter-process, multicast, and WebSocket, making it versatile for different network scenarios. On the other hand, nanomsg simplifies the transport layer by providing a single socket API that abstracts away the underlying transport protocol.

  3. Socket Options: ZeroMQ offers a broad range of socket options that can be fine-tuned for specific use cases, including message filtering, message prioritization, and socket types. Nanomsg, in contrast, provides a more minimalistic approach with fewer socket options, promoting simplicity and ease of use.

  4. API Design: ZeroMQ follows a more object-oriented API design with socket objects representing communication endpoints, which can be bound or connected. Nanomsg takes a different approach with a more function-oriented API, focusing on simplicity and minimizing the number of concepts to grasp.

  5. Development Activity: ZeroMQ has a longer history and a larger community, resulting in a more mature and widely adopted library. Nanomsg, while based on similar principles, is a newer project that aims to address some of the design issues of ZeroMQ. However, it may have a smaller community and less extensive documentation compared to ZeroMQ.

  6. Community Support: ZeroMQ has an active community that provides regular bug fixes, updates, and supports various user forums and mailing lists. Nanomsg, being a younger project, may have a smaller community support base and a potentially slower response time for bug fixes and feature requests.

In summary, ZeroMQ and nanomsg are both powerful messaging libraries with similar goals, but they differ in terms of language compatibility, transport protocols, socket options, API design, development activity, and community support.

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Detailed Comparison

ZeroMQ
ZeroMQ
nanomsg
nanomsg

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 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.

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.
Makes networking layer fast; Works on a wide range of operating systems
Statistics
GitHub Stars
10.6K
GitHub Stars
-
GitHub Forks
2.5K
GitHub Forks
-
Stacks
258
Stacks
10
Followers
586
Followers
29
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
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 ZeroMQ, 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.

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.

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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