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

RabbitMQ vs ZeroMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
ZeroMQ
ZeroMQ
Stacks258
Followers586
Votes71
GitHub Stars10.6K
Forks2.5K

RabbitMQ vs ZeroMQ: What are the differences?

Introduction

RabbitMQ and ZeroMQ are two popular message queuing systems used for message passing in distributed systems. While both of them serve the purpose of facilitating communication between various components of a system, there are significant differences that set them apart.

  1. Transport Protocol: RabbitMQ uses Advanced Message Queuing Protocol (AMQP) as its transport protocol, which provides a reliable and feature-rich messaging solution. On the other hand, ZeroMQ allows developers to choose the transport protocol according to their needs, such as TCP, UDP, or inproc.

  2. Message Distribution: RabbitMQ uses a broker-based architecture, where a central message broker handles message routing and distribution to the relevant consumers. In contrast, ZeroMQ follows a peer-to-peer model, where each node directly communicates with other nodes without the need for a central broker.

  3. Messaging Patterns: RabbitMQ supports various messaging patterns, including publish/subscribe, request/reply, and point-to-point. It provides a higher level of abstraction, allowing developers to focus on business logic rather than low-level message passing details. ZeroMQ, on the other hand, provides simple building blocks for creating messaging patterns, giving developers more control and flexibility.

  4. Scalability: RabbitMQ is designed to handle high loads and supports clustering, which allows for horizontal scalability by adding more broker nodes to the system. ZeroMQ is lightweight and suitable for small to medium-sized deployments but lacks built-in support for seamless scaling.

  5. Reliability and Fault Tolerance: RabbitMQ ensures message persistence and delivery guarantees through the use of durable queues and acknowledgments. It also provides features like message acknowledgment, publisher confirms, and transaction support. ZeroMQ, being a lightweight library, relies on the underlying transport protocol for reliability and fault tolerance. It does not provide built-in features for durability or acknowledgment.

  6. Ease of Use and Learning Curve: RabbitMQ provides a centralized management interface, making it easier to monitor and administer the message queue. It also offers a wide range of libraries and client APIs for different programming languages, reducing the learning curve. ZeroMQ, being a more low-level library, requires developers to have a deeper understanding of networking and messaging concepts, resulting in a steeper learning curve.

In summary, RabbitMQ and ZeroMQ differ in terms of their transport protocols, architectural models, messaging patterns, scalability features, reliability mechanisms, and ease of use. While RabbitMQ offers more high-level abstractions and features out of the box, ZeroMQ provides greater flexibility and control for developers.

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Advice on RabbitMQ, ZeroMQ

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
Pulkit
Pulkit

Software Engineer

Oct 30, 2020

Needs adviceonDjangoDjangoAmazon SQSAmazon SQSRabbitMQRabbitMQ

Hi! I am creating a scraping system in Django, which involves long running tasks between 1 minute & 1 Day. As I am new to Message Brokers and Task Queues, I need advice on which architecture to use for my system. ( Amazon SQS, RabbitMQ, or Celery). The system should be autoscalable using Kubernetes(K8) based on the number of pending tasks in the queue.

474k views474k
Comments
Kirill
Kirill

GO/C developer at Duckling Sales

Feb 16, 2021

Decided

Maybe not an obvious comparison with Kafka, since Kafka is pretty different from rabbitmq. But for small service, Rabbit as a pubsub platform is super easy to use and pretty powerful. Kafka as an alternative was the original choice, but its really a kind of overkill for a small-medium service. Especially if you are not planning to use k8s, since pure docker deployment can be a pain because of networking setup. Google PubSub was another alternative, its actually pretty cheap, but I never tested it since Rabbit was matching really good for mailing/notification services.

266k views266k
Comments

Detailed Comparison

RabbitMQ
RabbitMQ
ZeroMQ
ZeroMQ

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

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.

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
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.
Statistics
GitHub Stars
13.2K
GitHub Stars
10.6K
GitHub Forks
4.0K
GitHub Forks
2.5K
Stacks
21.8K
Stacks
258
Followers
18.9K
Followers
586
Votes
558
Votes
71
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
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

What are some alternatives to RabbitMQ, ZeroMQ?

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.

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.

Apache Pulsar

Apache Pulsar

Apache Pulsar is a distributed messaging solution developed and released to open source at Yahoo. Pulsar supports both pub-sub messaging and queuing in a platform designed for performance, scalability, and ease of development and operation.

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