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  5. ActiveMQ vs ZeroMQ

ActiveMQ vs ZeroMQ

OverviewDecisionsComparisonAlternatives

Overview

ActiveMQ
ActiveMQ
Stacks879
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K
ZeroMQ
ZeroMQ
Stacks258
Followers586
Votes71
GitHub Stars10.6K
Forks2.5K

ActiveMQ vs ZeroMQ: What are the differences?

Introduction

ActiveMQ and ZeroMQ are both popular messaging frameworks used in software development. While they share similarities in their purpose of enabling communication between different components or systems, they have distinct differences that set them apart. In this article, we will discuss the key differences between ActiveMQ and ZeroMQ.

  1. Built-in Broker vs. Brokerless Architecture: ActiveMQ is a message broker that acts as a mediator between senders and receivers. It provides a centralized messaging infrastructure where messages are sent to the broker and then delivered to their intended destinations. On the other hand, ZeroMQ follows a brokerless architecture, where messaging is performed directly between senders and receivers without the need for a centralized broker.

  2. Transport Protocols: ActiveMQ primarily uses open wire protocols, which are based on XML and are platform-independent. It also supports other protocols such as STOMP, MQTT, and AMQP. In contrast, ZeroMQ utilizes its own proprietary protocol called ZeroMQ or simply ZMQ protocol. This protocol is lightweight and designed for high-performance messaging between applications.

  3. Programming Language Support: ActiveMQ is primarily implemented in Java and provides client libraries for several programming languages, including Java, C++, .NET, and others. These client libraries enable developers to interact with ActiveMQ using their preferred language. In contrast, ZeroMQ is implemented in C++, but it also provides bindings for various programming languages such as Java, C#, Python, and more.

  4. Message Patterns: ActiveMQ supports various messaging patterns such as point-to-point (queue-based) and publish/subscribe (topic-based) patterns. It provides features like message acknowledgment and durable subscriptions. ZeroMQ, on the other hand, supports a wide range of messaging patterns, including request/reply, publish/subscribe, multicast, and pipeline patterns. It offers fine-grained control over message routing and allows developers to build custom messaging patterns.

  5. Scalability and Performance: ActiveMQ leverages a traditional centralized messaging model, which can introduce potential bottlenecks as the number of clients and messages increases. It relies on the broker to handle message queueing and delivery. In contrast, ZeroMQ's brokerless architecture allows for better scalability and performance. It supports peer-to-peer communication, allowing messages to be sent directly between applications without relying on a centralized broker.

  6. Ease of Setup and Configuration: ActiveMQ is a feature-rich messaging system that requires installation and configuration of a message broker. Setting up and managing a standalone ActiveMQ server can involve some complexity. In contrast, ZeroMQ is a lightweight library that can be easily integrated into existing applications. It does not require a separate server or complex configuration, making it easier to set up and use in comparison.

In summary, ActiveMQ and ZeroMQ differ in their architecture, transport protocols, language support, message patterns, scalability and performance, as well as ease of setup and configuration. Each framework has its own strengths and use cases, and the choice between them depends on specific project requirements and constraints.

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Advice on ActiveMQ, ZeroMQ

Meili
Meili

Software engineer at Digital Science

Sep 24, 2020

Needs adviceonZeroMQZeroMQRabbitMQRabbitMQAmazon SQSAmazon SQS

Hi, we are in a ZMQ set up in a push/pull pattern, and we currently start to have more traffic and cases that the service is unavailable or stuck. We want to:

  • Not loose messages in services outages
  • Safely restart service without losing messages (@{ZeroMQ}|tool:1064| seems to need to close the socket in the receiver before restart manually)

Do you have experience with this setup with ZeroMQ? Would you suggest RabbitMQ or Amazon SQS (we are in AWS setup) instead? Something else?

Thank you for your time

500k views500k
Comments
Bela Tibor
Bela Tibor

Technical Lead at Salt & Pepper

Mar 10, 2021

Review

This depends on your needs, but basically Kafka is the de-facto solution to go for. RabbitMQ, ZeroMQ or similar message queuing systems have their advantages too. Check for parallel consuming, in-flight queue (topic for Kafka) creation needs, consumer <-> message relations (how many consumers are interested in a message, all consumers are interested in all messages) etc...

65 views65
Comments

Detailed Comparison

ActiveMQ
ActiveMQ
ZeroMQ
ZeroMQ

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.

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.

Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
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
2.4K
GitHub Stars
10.6K
GitHub Forks
1.5K
GitHub Forks
2.5K
Stacks
879
Stacks
258
Followers
1.3K
Followers
586
Votes
77
Votes
71
Pros & Cons
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    ONLY Vertically Scalable
  • 1
    Difficult to scale
  • 1
    Low resilience to exceptions and interruptions
  • 1
    Support
Pros
  • 23
    Fast
  • 20
    Lightweight
  • 11
    Transport agnostic
  • 7
    No broker required
  • 4
    Low latency
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 ActiveMQ, 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.

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.

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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