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  1. Stackups
  2. Utilities
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  4. Message Queue
  5. MQTT vs gRPC

MQTT vs gRPC

OverviewComparisonAlternatives

Overview

MQTT
MQTT
Stacks635
Followers577
Votes7
gRPC
gRPC
Stacks2.4K
Followers1.4K
Votes64
GitHub Stars43.9K
Forks11.0K

MQTT vs gRPC: What are the differences?

MQTT and gRPC are two different communication protocols used in various applications. Let's explore the key differences between MQTT and gRPC:

  1. Scalability: One of the key differences between MQTT and gRPC is their scalability. MQTT is designed to support a large number of connected clients, making it ideal for Internet of Things (IoT) scenarios where thousands or millions of devices need to communicate with a message broker. On the other hand, gRPC is more suitable for microservices architectures, where a smaller number of highly efficient and low-latency connections are required between services. It is designed to handle high-performance and high-throughput communication patterns.

  2. Data Representation: Another difference between MQTT and gRPC lies in their data representation. MQTT is a lightweight protocol that uses a binary format to send messages, which helps reduce the payload size and conserve bandwidth. It supports only a limited set of data types and message structures. In contrast, gRPC uses Protocol Buffers as its data representation format, which provides a more expressive and flexible way of defining message types and their structures. This allows for easier development and evolution of APIs.

  3. Message Delivery Guarantees: MQTT and gRPC also differ in their message delivery guarantees. MQTT provides different levels of Quality of Service (QoS) for message delivery, including At Most Once (QoS 0), At Least Once (QoS 1), and Exactly Once (QoS 2). These QoS levels allow the sender to choose the desired level of reliability and assurance for message delivery. On the other hand, gRPC uses a streaming approach, where requests and responses are sent over bidirectional streams or channels. This enables more fine-grained control over message reliability and allows for efficient multiplexing of requests and responses.

  4. Communication Patterns: MQTT and gRPC support different communication patterns. MQTT follows a publish-subscribe model, where clients can publish messages to topics and subscribe to topics to receive messages. This pattern is suitable for scenarios where multiple clients need to receive the same information in real-time, such as IoT sensor data. In contrast, gRPC follows a request-response model, where clients send requests to servers and receive responses. This pattern is well-suited for client-server architectures and synchronous communication.

  5. Transport Layer: MQTT and gRPC use different transport layer protocols. MQTT typically runs over TCP/IP and can also be secured using TLS/SSL for encryption. This makes it compatible with a wide range of networking infrastructures. On the other hand, gRPC uses HTTP/2 as its transport layer protocol, which brings advantages like multiplexing, flow control, and header compression. HTTP/2 is widely supported by modern web browsers and server-side frameworks.

  6. Platform and Language Support: MQTT and gRPC also differ in terms of platform and language support. MQTT has extensive library support for various programming languages and can be used on different platforms, including embedded systems and mobile devices. Additionally, there are numerous MQTT brokers available that provide seamless integration with different ecosystems. In contrast, gRPC is more commonly used in the context of modern web application development and is well-supported by popular programming languages like Python, Go, Java, and C++. Its ecosystem includes tools and libraries that simplify service definition, code generation, and deployment.

In summary, MQTT is a lightweight, publish-subscribe messaging protocol widely used for efficient communication in the Internet of Things (IoT) and real-time applications, while gRPC is a high-performance Remote Procedure Call (RPC) framework designed for building efficient and interoperable services, commonly employed in microservices architectures.

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Detailed Comparison

MQTT
MQTT
gRPC
gRPC

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.

gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...

-
Simple service definition;Works across languages and platforms;Start quickly and scale;Works across languages and platforms;Bi-directional streaming and integrated auth
Statistics
GitHub Stars
-
GitHub Stars
43.9K
GitHub Forks
-
GitHub Forks
11.0K
Stacks
635
Stacks
2.4K
Followers
577
Followers
1.4K
Votes
7
Votes
64
Pros & Cons
Pros
  • 3
    Varying levels of Quality of Service to fit a range of
  • 2
    Very easy to configure and use with open source tools
  • 2
    Lightweight with a relatively small data footprint
Cons
  • 1
    Easy to configure in an unsecure manner
Pros
  • 25
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
Integrations
No integrations available
.NET
.NET
Swift
Swift
Java
Java
JavaScript
JavaScript
C++
C++
Kotlin
Kotlin

What are some alternatives to MQTT, gRPC?

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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