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  5. IBM MQ vs ZeroMQ

IBM MQ vs ZeroMQ

OverviewComparisonAlternatives

Overview

ZeroMQ
ZeroMQ
Stacks258
Followers586
Votes71
GitHub Stars10.6K
Forks2.5K
IBM MQ
IBM MQ
Stacks118
Followers187
Votes11

IBM MQ vs ZeroMQ: What are the differences?

Introduction

IBM MQ and ZeroMQ are both messaging technologies used for interprocess communication. However, there are key differences that set them apart from each other. In this article, we will explore the main differences between IBM MQ and ZeroMQ.

  1. Point-to-Point vs Publish-Subscribe: IBM MQ follows a point-to-point messaging model, where messages are sent from a single sender to a single receiver. On the other hand, ZeroMQ implements the publish-subscribe messaging pattern, allowing for many-to-many communication. This means that with ZeroMQ, multiple subscribers can receive messages published by a single publisher, while in IBM MQ, each message is delivered to only one specific receiver.

  2. Centralized vs Decentralized: IBM MQ is a centralized messaging system, which requires a central message broker to handle the routing and distribution of messages. ZeroMQ, on the other hand, is a decentralized messaging library, where each application can act as both a sender and a receiver without the need for a central broker. This allows for more flexible and scalable architectures with ZeroMQ.

  3. Message Persistence: IBM MQ provides built-in message persistence, which means that messages can be stored on disk and retrieved later, even in the event of system failures. ZeroMQ does not provide built-in message persistence, and messages are typically not stored to disk by default. However, applications using ZeroMQ can implement their own persistence mechanisms if required.

  4. Protocol Support: IBM MQ supports various protocols, including TCP/IP, X.25, and SNA. It also provides support for different messaging patterns like request/reply and publish/subscribe. On the other hand, ZeroMQ primarily uses TCP/IP as the underlying protocol and focuses on providing lightweight messaging patterns like publish/subscribe and push/pull.

  5. Message Queuing vs Message Passing: IBM MQ is designed for enterprise message queuing, emphasizing reliable message delivery and guaranteed order of messages. It provides features like message persistence, transactionality, and advanced routing and filtering capabilities. ZeroMQ, on the other hand, is more focused on lightweight message passing, prioritizing high-speed communication and low-latency messaging patterns.

  6. Programming Language and Platform Support: IBM MQ provides support for a wide range of programming languages, including Java, C, C++, .NET, and more. It also offers support for various platforms like Windows, Linux, and Unix. ZeroMQ is known for its language-agnostic nature and provides bindings for many programming languages, including C, C++, Java, Python, and more. It is also platform independent, making it suitable for a wide range of environments.

In summary, IBM MQ and ZeroMQ differ in their messaging models, architecture, message persistence, protocol support, messaging focus, and programming language/platform support. Understanding these key differences is essential for choosing the right messaging technology for your specific requirements.

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Detailed Comparison

ZeroMQ
ZeroMQ
IBM MQ
IBM MQ

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 messaging middleware that simplifies and accelerates the integration of diverse applications and business data across multiple platforms. It offers proven, enterprise-grade messaging capabilities that skillfully and safely move information.

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.
Once-and-once-only delivery; Asynchronous messaging; Powerful protection; Simplified, smart management; Augmented security; Expanded client application options
Statistics
GitHub Stars
10.6K
GitHub Stars
-
GitHub Forks
2.5K
GitHub Forks
-
Stacks
258
Stacks
118
Followers
586
Followers
187
Votes
71
Votes
11
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
Pros
  • 3
    Useful for big enteprises
  • 3
    Reliable for banking transactions
  • 2
    Secure
  • 1
    Broader connectivity - more protocols, APIs, Files etc
  • 1
    High Availability
Cons
  • 2
    Cost

What are some alternatives to ZeroMQ, IBM MQ?

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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