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  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Serialization Frameworks
  5. MessagePack vs gRPC

MessagePack vs gRPC

OverviewComparisonAlternatives

Overview

MessagePack
MessagePack
Stacks51
Followers79
Votes1
GitHub Stars7.3K
Forks521
gRPC
gRPC
Stacks2.4K
Followers1.4K
Votes64
GitHub Stars43.9K
Forks11.0K

MessagePack vs gRPC: What are the differences?

Introduction

In this article, we will discuss the key differences between MessagePack and gRPC.


  1. Serialization Format: MessagePack is a binary serialization format that is designed to be compact and efficient. It uses a simple and straightforward encoding scheme to represent data in a small size. On the other hand, gRPC is a high-performance open-source framework that is based on the Remote Procedure Call (RPC) communication protocol. It supports multiple serialization formats, including Protobuf (by default) and JSON.

  2. Communication Protocol: MessagePack does not define a specific communication protocol but focuses only on serialization. It can be used in various scenarios, such as messaging, data storage, and even inter-process communication. On the contrary, gRPC provides a complete communication protocol stack that includes protocol buffers for defining services and message types, HTTP/2 for transport, and various bindings for different programming languages.

  3. Language Support: MessagePack has support for various programming languages, including but not limited to Java, Python, C#, and C++. It provides libraries and serializers in these languages, making it easy to work with and integrate into existing applications. In contrast, gRPC has broader language support, offering libraries and code generation for a wide range of languages such as Java, Python, C++, Go, C#, Ruby, Node.js, and many more.

  4. Error Handling: MessagePack does not have a standardized mechanism for handling errors. It relies on the application or protocol using it to define its error handling approach. On the other hand, gRPC has built-in error handling mechanisms. It uses status codes and details to provide rich error information, allowing clients to handle errors in a more structured and predictable manner.

  5. Service Definition: MessagePack does not define any specific mechanism or syntax for defining services or APIs. It focuses solely on serialization and does not provide standardized ways to describe remote interfaces or methods. Meanwhile, gRPC uses Protocol Buffers (Protobuf) as its service definition language. Protobuf offers a simple and language-neutral way to define the structure of data and RPC services, allowing for efficient code generation.

  6. Transport Protocol: MessagePack does not have a built-in transport protocol and can be used with any transport mechanism or protocol. It can be used over TCP, UDP, HTTP, or any other suitable transport. Conversely, gRPC uses HTTP/2 as its default transport protocol. HTTP/2 provides advantages such as header compression, multiplexing, and server push, making it a suitable choice for efficient communication between clients and servers.


In summary, MessagePack is a lightweight, binary serialization format focused on efficient data representation, while gRPC is a high-performance RPC framework that provides a complete communication protocol stack with built-in support for service definition, error handling, and multiple language bindings.

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Detailed Comparison

MessagePack
MessagePack
gRPC
gRPC

It is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves.

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...

Binary serialization format; Exchange data among multiple languages ; Faster and smaller
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
7.3K
GitHub Stars
43.9K
GitHub Forks
521
GitHub Forks
11.0K
Stacks
51
Stacks
2.4K
Followers
79
Followers
1.4K
Votes
1
Votes
64
Pros & Cons
Pros
  • 1
    Lightweight
Pros
  • 25
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
Integrations
Redis
Redis
Ruby
Ruby
Fluentd
Fluentd
Haskell
Haskell
.NET
.NET
Swift
Swift
Java
Java
JavaScript
JavaScript
C++
C++
Kotlin
Kotlin

What are some alternatives to MessagePack, gRPC?

Protobuf

Protobuf

Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler.

Avro

Avro

It is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.

REST

REST

An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies.

Apache Thrift

Apache Thrift

The Apache Thrift software framework, for scalable cross-language services development, combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml and Delphi and other languages.

Serde

Serde

It is a framework for serializing and deserializing Rust data structures efficiently and generically. The ecosystem consists of data structures that know how to serialize and deserialize themselves along with data formats that know how to serialize and deserialize other things. It provides the layer by which these two groups interact with each other, allowing any supported data structure to be serialized and deserialized using any supported data format.

JSON-RPC

JSON-RPC

It is a very simple protocol, defining only a few data types and commands. It allows for notifications (data sent to the server that does not require a response) and for multiple calls to be sent to the server which may be answered out of order.

Apache Dubbo

Apache Dubbo

It is a high-performance, light weight, java based RPC framework. Dubbo offers three key functionalities, which include interface based remote call, fault tolerance & load balancing, and automatic service registration & discovery.

Sonic

Sonic

It is a blazingly fast JSON serializing & deserializing library, accelerated by JIT (just-in-time compiling) and SIMD (single-instruction-multiple-data).

Mercury

Mercury

A modular JSON-RPC library that allows pluggable transport layers, JSON libraries, and effect/async monads. It is used to communicate with embedded devices where the device is acting in the server role.

Tars

Tars

It is an open-source microservice platform. It contains a high-performance RPC framework and a service management platform. Based on Tars, you can develop a reliable microservice system efficiently. It is designed for high reliability, high performance, and efficient service management. By significantly reducing system operation work, developers can focus on business logic and meet fast changes of user requirements.

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