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  3. Protobuf vs gRPC

Protobuf vs gRPC

OverviewDecisionsComparisonAlternatives

Overview

Protobuf
Protobuf
Stacks2.7K
Followers393
Votes0
GitHub Stars69.5K
Forks15.9K
gRPC
gRPC
Stacks2.2K
Followers1.4K
Votes64
GitHub Stars43.9K
Forks11.0K

Protobuf vs gRPC: What are the differences?

Introduction

This Markdown code presents the key differences between Protobuf and gRPC, specifically highlighting their distinctive features in six different aspects.

  1. Serialization Format: Protobuf uses the Protocol Buffers serialization format, which is a language-agnostic binary format for structured data exchange. On the other hand, gRPC utilizes Protobuf as its default serialization format but also supports other formats like JSON and Avro.

  2. Communication Protocol: Protobuf is a data serialization format and does not provide a specific communication protocol. In contrast, gRPC is a high-performance RPC (Remote Procedure Call) framework built on top of Protobuf. It uses HTTP/2 as the underlying communication protocol, enabling efficient bidirectional streaming and multiplexing capabilities.

  3. Service Definition: Protobuf uses .proto files to define the structure and contract of the data models, but it does not directly support service definitions. In contrast, gRPC allows developers to define services and methods with their inputs and outputs using .proto files, enabling the generation of client and server code for easy communication.

  4. Code Generation: Protobuf generates language-specific code based on the defined message structures using the Protocol Buffers compiler. This generated code allows developers to easily serialize and deserialize data. On the other hand, gRPC takes the concept further by generating both client-side and server-side code based on the defined services and methods, providing a higher level of abstraction for building distributed systems.

  5. Transport Layer Security (TLS): Protobuf, being a serialization format, does not natively handle security aspects such as encryption. In contrast, gRPC provides built-in support for TLS, allowing secure communication between the client and server using certificates and encryption.

  6. Transport and Encoding Flexibility: Protobuf focuses primarily on binary encoding and does not have built-in support for alternative transport mechanisms. On the other hand, gRPC is designed to support multiple encodings, including Protobuf binary encoding, JSON, and Avro. Additionally, gRPC allows using alternative transport mechanisms such as HTTP/2, WebSocket, and custom transports.

In summary, Protobuf is a serialization format used for structured data exchange, while gRPC is an RPC framework built on top of Protobuf that provides a communication protocol, service definitions, code generation, and additional features such as TLS and transport flexibility.

Advice on Protobuf, gRPC

Mickael
Mickael

DevOps Engineer at Rookout

Mar 1, 2020

Needs advice

At the start of Rookout, we used to have a giant Python monolith and it started being hard to maintain - we realized that using Kubernetes, it would be easy enough to have multiple micro-services each responsible for their own tasks.

After almost a year of micro-services, we are slowly slimming it down to a Golang backend with a NodeJS GraphQL facade for easier frontend development.

NodeJS has the most popular and better options for GraphQL, and it is for a reason.

Between having protobuf schemas between our services, a GraphQL schema to manage our queries, and a very durable backend in Golang, we are able to do anything we want and handle large scale very easily.

22.9k views22.9k
Comments

Detailed Comparison

Protobuf
Protobuf
gRPC
gRPC

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

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
69.5K
GitHub Stars
43.9K
GitHub Forks
15.9K
GitHub Forks
11.0K
Stacks
2.7K
Stacks
2.2K
Followers
393
Followers
1.4K
Votes
0
Votes
64
Pros & Cons
No community feedback yet
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 Protobuf, gRPC?

MessagePack

MessagePack

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.

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.

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.

REST

REST

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

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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