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  5. IBM MQ vs MSMQ

IBM MQ vs MSMQ

OverviewComparisonAlternatives

Overview

MSMQ
MSMQ
Stacks33
Followers118
Votes3
IBM MQ
IBM MQ
Stacks118
Followers187
Votes11

IBM MQ vs MSMQ: What are the differences?

Introduction

IBM MQ and MSMQ are both messaging systems used for communication between applications. However, they have several key differences that set them apart.

  1. Message Transport Mechanism: IBM MQ uses a client-server architecture, where messages are sent from a client application to a server application for processing and then returned back to the client. On the other hand, MSMQ uses a peer-to-peer architecture, where multiple applications can send and receive messages directly to and from each other without the need for a central server.

  2. Supported Platforms: IBM MQ supports a wide range of platforms including Windows, UNIX, Linux, and z/OS. It also provides support for various programming languages such as Java, C, and .NET. In contrast, MSMQ is mainly targeted for Windows-based systems and primarily supports programming languages such as C++ and .NET.

  3. Scalability: IBM MQ is known for its high scalability and can handle large volumes of messages with ease. It provides features like clustering and load balancing to distribute messages across multiple servers for increased throughput. On the other hand, MSMQ is not as scalable as IBM MQ and may experience performance issues when dealing with a high volume of messages.

  4. Reliability: IBM MQ provides robust message delivery guarantees through its persistence and transactional support. Messages can be stored on disk and transactions can be used to ensure that messages are processed exactly once. MSMQ also provides reliable message delivery but does not have built-in support for distributed transactions.

  5. Administration and Monitoring: IBM MQ offers a comprehensive set of administration and monitoring tools that allow administrators to manage and monitor the messaging infrastructure effectively. It provides features such as centralized configuration management, performance monitoring, and security controls. In contrast, MSMQ has a simpler administration and monitoring system with limited capabilities.

  6. Integration with Other Systems: IBM MQ offers a wide range of integration options, including support for various protocols such as TCP/IP, HTTP, and WebSphere MQ. It can also integrate with other IBM products like IBM Integration Bus and IBM DataPower for advanced message transformation and routing capabilities. MSMQ, on the other hand, has limited integration options and is primarily focused on Windows-based systems.

In summary, IBM MQ and MSMQ differ in terms of their message transport mechanism, supported platforms, scalability, reliability, administration and monitoring capabilities, and integration options.

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Detailed Comparison

MSMQ
MSMQ
IBM MQ
IBM MQ

This technology enables applications running at different times to communicate across heterogeneous networks and systems that may be temporarily offline. Applications send messages to queues and read messages from queues.

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.

-
Once-and-once-only delivery; Asynchronous messaging; Powerful protection; Simplified, smart management; Augmented security; Expanded client application options
Statistics
Stacks
33
Stacks
118
Followers
118
Followers
187
Votes
3
Votes
11
Pros & Cons
Pros
  • 2
    Easy to learn
  • 1
    Cloud not needed
Cons
  • 1
    Windows dependency
Pros
  • 3
    Reliable for banking transactions
  • 3
    Useful for big enteprises
  • 2
    Secure
  • 1
    Broader connectivity - more protocols, APIs, Files etc
  • 1
    High Availability
Cons
  • 2
    Cost

What are some alternatives to MSMQ, 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.

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.

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