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Rabbitmq vs MQTT (Message Queuing Telemetry Transport)


RabbitMQ and MQTT (Message Queuing Telemetry Transport) are both prominent in the field of message brokering and IoT communication, but they serve different purposes and offer distinct features.

Overview of RabbitMQ

RabbitMQ is an open-source message broker that supports multiple messaging protocols, including MQTT. It is known for its flexibility, reliability, and complex routing capabilities.

Key Features of RabbitMQ:

  • Multiple Protocol Support: Compatible with AMQP, MQTT, STOMP, and others.
  • Advanced Routing: Offers a variety of exchange types for sophisticated message routing.
  • Highly Reliable: Provides message queuing, delivery acknowledgments, and persistent messaging.
  • Scalable and Distributed: Supports clustering for high availability and load balancing.

Use Cases for RabbitMQ:

  • Complex Messaging Systems: Ideal for systems requiring intricate routing and message transformations.
  • Enterprise Messaging: Suitable for enterprise-grade messaging, including IoT scenarios.
  • Decoupled Architectures: Used in microservices and distributed systems for decoupling components.

Favorable and Unfavorable Scenarios:

  • Favorable: Environments requiring robust message routing, high reliability, and support for various protocols.
  • Unfavorable: Simple, lightweight messaging where a full-featured broker might be overkill.

Overview of MQTT

MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol designed for low-bandwidth, high-latency environments, commonly used in IoT scenarios.

Key Features of MQTT:

  • Lightweight Protocol: Designed to be bandwidth-efficient and use minimal battery power.
  • Publish-Subscribe Model: Allows multiple clients to subscribe to topics and receive messages.
  • Quality of Service Levels: Supports multiple levels of message delivery guarantees.
  • Ideal for IoT: Well-suited for communication in IoT and constrained environments.

Use Cases for MQTT:

  • IoT Devices Communication: Efficient in scenarios involving sensor data collection and control message dissemination.
  • Mobile and Low-bandwidth Environments: Suitable for mobile applications that require minimal data packets.
  • Real-Time Updates: Used for scenarios needing timely updates, like tracking and monitoring systems.

Favorable and Unfavorable Scenarios:

  • Favorable: IoT applications, resource-constrained environments, and scenarios requiring efficient, real-time communication.
  • Unfavorable: Complex messaging scenarios that require advanced routing and message processing beyond topic-based subscriptions.



  • Message Brokering: Both are used for message brokering in different contexts.
  • Pub/Sub Mechanism: Support the publish-subscribe messaging pattern.


  • Protocol vs Broker: RabbitMQ is a message broker that can support MQTT among other protocols, whereas MQTT itself is a lightweight messaging protocol, not a broker.
  • Use Case Focus: RabbitMQ is more versatile and suited for complex systems, while MQTT is optimized for simple, efficient communication in IoT and constrained environments.
  • Feature Richness: RabbitMQ offers more advanced features like different exchange types and message queuing, compared to the more streamlined MQTT protocol.


The choice between RabbitMQ and MQTT depends on the specific requirements and constraints of your project. RabbitMQ is ideal for complex messaging scenarios with needs for advanced routing and protocol support. MQTT, being a protocol, is best suited for lightweight, efficient communication in IoT environments and scenarios with bandwidth constraints. In some cases, RabbitMQ with MQTT plugin can be used to combine the benefits of a robust message broker with the simplicity of the MQTT protocol.