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  4. Message Queue
  5. MQTT vs MSMQ

MQTT vs MSMQ

OverviewComparisonAlternatives

Overview

MQTT
MQTT
Stacks635
Followers577
Votes7
MSMQ
MSMQ
Stacks33
Followers118
Votes3

MQTT vs MSMQ: What are the differences?

MQTT vs. MSMQ: Key Differences

Introduction

MQTT and MSMQ are two popular messaging protocols used in the field of computer science and information technology. While both serve the purpose of enabling communication between distributed systems, there are several key differences that set them apart. In this article, we will explore these differences in detail.

  1. Communication Model: MQTT follows a publish-subscribe communication model, where messages are published by a sender and received by multiple subscribers. On the other hand, MSMQ follows a message queue model, where messages are sent to a queue and received by a single recipient. This fundamental difference in communication models determines how messages are distributed and received.

  2. Message Persistence: MQTT is known for its lightweight nature, and by default, it does not provide durable message storage. Messages are not persisted on the MQTT broker, and if a subscriber is not currently active, it will not receive messages that were published during its downtime. In contrast, MSMQ provides durable message storage, meaning that messages are persisted on the message queue and can be retrieved by the recipient even if it was offline at the time of message arrival.

  3. Message Routing: MQTT relies on a topic-based routing mechanism, where messages are published to specific topics, and subscribers subscribe to topics of interest. This allows for flexible and selective message distribution. On the other hand, MSMQ relies on direct message routing, where messages are sent directly to a specific queue and are retrieved by the recipient from that queue. This approach provides a more direct and targeted message delivery mechanism.

  4. Transport Protocol: MQTT is primarily built on top of the TCP protocol. It uses the TCP/IP stack for reliable and ordered message delivery. MSMQ, on the other hand, utilizes the Windows networking stack for reliable message transfer. This difference in transport protocols may have implications on aspects such as network overhead and compatibility with different operating systems and network environments.

  5. Platform Independence: MQTT is a platform-independent protocol, meaning it can be implemented on various operating systems and platforms. It is widely used in scenarios where there is a need for cross-platform communication. MSMQ, however, is a Windows-specific messaging technology and is tightly integrated with the Windows operating system. It offers advanced features and integration capabilities specific to the Windows environment.

  6. Standardization and Adoption: MQTT is an open standard protocol governed by the Organization for the Advancement of Structured Information Standards (OASIS). It has gained significant adoption in the Internet of Things (IoT) domain and has a thriving open-source community. MSMQ, on the other hand, is a proprietary technology developed by Microsoft and is primarily used in Windows-based enterprise systems.

In summary, MQTT and MSMQ differ in their communication models, message persistence, message routing mechanisms, transport protocols, platform independence, and standardization and adoption. Understanding these differences is crucial when choosing the right messaging protocol for your specific use case and system requirements.

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Detailed Comparison

MQTT
MQTT
MSMQ
MSMQ

It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium.

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.

Statistics
Stacks
635
Stacks
33
Followers
577
Followers
118
Votes
7
Votes
3
Pros & Cons
Pros
  • 3
    Varying levels of Quality of Service to fit a range of
  • 2
    Lightweight with a relatively small data footprint
  • 2
    Very easy to configure and use with open source tools
Cons
  • 1
    Easy to configure in an unsecure manner
Pros
  • 2
    Easy to learn
  • 1
    Cloud not needed
Cons
  • 1
    Windows dependency

What are some alternatives to MQTT, MSMQ?

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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