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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. MQTT vs NServiceBus

MQTT vs NServiceBus

OverviewComparisonAlternatives

Overview

NServiceBus
NServiceBus
Stacks76
Followers132
Votes2
MQTT
MQTT
Stacks635
Followers577
Votes7

MQTT vs NServiceBus: What are the differences?

Introduction

When comparing MQTT and NServiceBus, it's important to understand the key differences between the two technologies in order to make an informed decision for your application's needs.

  1. Message Protocol: MQTT is a lightweight, publish-subscribe messaging protocol that is ideal for IoT applications, where devices have limited bandwidth and processing power. On the other hand, NServiceBus is a messaging framework that provides more advanced features for reliable messaging in enterprise applications.
  2. Scalability: MQTT is designed for massive scalability with thousands of clients connected to a broker, making it well-suited for IoT environments. In contrast, NServiceBus is more focused on providing reliable and scalable messaging within enterprise applications, with features like message retries and error handling.
  3. Message Delivery Guarantees: MQTT offers three levels of message delivery: at most once, at least once, and exactly once. NServiceBus, on the other hand, ensures reliable message delivery by default, with features like automatic retries, dead-letter queues, and transactional processing.
  4. Message Routing: MQTT uses topics for message routing, allowing clients to subscribe to specific topics of interest. NServiceBus, on the other hand, uses message handlers to route messages to the appropriate processing logic based on message types, providing more flexibility in message routing.
  5. Integration Capabilities: NServiceBus provides deep integration with Microsoft technologies like Azure Service Bus, SQL Server, and Entity Framework, making it well-suited for .NET applications. MQTT, on the other hand, is more agnostic and can be easily integrated with a wide range of platforms and programming languages.
  6. Complexity and Learning Curve: MQTT is relatively simple and easy to get started with, making it ideal for simple IoT applications. NServiceBus, on the other hand, has a steeper learning curve due to its advanced features and configuration options, making it better suited for complex enterprise applications with specific messaging requirements.

Summary

In summary, MQTT is a lightweight, scalable messaging protocol ideal for IoT applications, while NServiceBus provides more advanced features and reliability for messaging in enterprise applications, making it a better choice for complex messaging scenarios.

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Detailed Comparison

NServiceBus
NServiceBus
MQTT
MQTT

Performance, scalability, pub/sub, reliable integration, workflow orchestration, and everything else you could possibly want in a service bus.

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.

Statistics
Stacks
76
Stacks
635
Followers
132
Followers
577
Votes
2
Votes
7
Pros & Cons
Pros
  • 1
    Not as good as alternatives, good job security
  • 1
    Brings on-prem issues to the cloud
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

What are some alternatives to NServiceBus, MQTT?

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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