MQTT vs. Redis vs. Kafka

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MQTT

Message Queueing Telemetry Transport

It is a lightweight communication protocol for IoT devices and networks. MQTT is well-suited for use in low-bandwidth, high-latency networks, and is often used for real-time data transfer in applications such as home automation and energy management.

MQTT (Message Queuing Telemetry Transport) is a publish/subscribe messaging protocol designed for resource-constrained devices and low-bandwidth networks. It provides a lightweight and efficient messaging infrastructure for microservices, making it ideal for IoT and mobile applications.

  • 物聯網(IoT) 通訊協議，專為資源受限的設備設計，提供了可靠的、有序的、低延遲的訊息傳輸
  • 適用於物聯網設備間的訊息通訊

Advantages

  1. Lightweight and efficient
  2. Ideal for IoT and mobile applications
  3. Publish/subscribe model for easy scalability
  4. Widely supported and well-documented API
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Quality of Service (QoS)
Retained Messages
Last Will and Testament (LWT)

Scalability and Reliability

Disadvantages

  1. Limited security options compared to other protocols
  2. May not be suitable for high-volume or complex data transfers

Best Use Case

MQTT is best for low-volume, resource-constrained, and scalable communication between microservices, especially in IoT and mobile applications.
It’s well-suited for environments with limited bandwidth or unreliable networks, and devices with low computational resources.

Choose: You need to ensure message delivery over unreliable or bandwidth-constrained networks. You are dealing with a large number of distributed devices or sensors.

Redis

Remote Dictionary Server

It is an in-memory data structure store that can be used as a database, cache, and message broker. Redis can be used for real-time communication between services, where messages are stored and retrieved using Redis pub/sub.

Redis is an open-source, in-memory data structure store that can be used as a database, cache, and message broker. It provides fast and flexible access to data, making it well-suited for use as a cache and message broker in microservices.

  • 適用於需要高效能、在短時間內處理大量訊息的場景

Advantages

  1. Fast in-memory access to data
  2. Flexible data storage options
  3. Publish/subscribe model for easy scalability
  4. Widely supported and well-documented API
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high performance and low latency (Performance: Excellent for high-performance computing scenarios where rapid access to data is required.)

Pub/Sub System
Data Persistence
Advanced Data Structures

Disadvantages

  1. Limited durability compared to other protocols
  2. May not be suitable for high-volume or complex data transfers
  3. May require additional setup and configuration

Best Use Case

Redis is best for fast, flexible, and scalable communication between microservices, especially as a cache or message broker.
It is also used for message brokering but in more data-centric applications like web applications, gaming, and real-time analytics.

Choose: You are developing applications that need rapid access to data with minimal latency. Your use case involves real-time analytics, gaming, or session management in web applications.

Kafka

References