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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.

Decisions about gRPC and Protobuf
Mickael Alliel
DevOps Engineer at Rookout ยท | 6 upvotes ยท 22.2K views

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.

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Pros of gRPC
Pros of Protobuf
  • 24
    Higth performance
  • 15
    The future of API
  • 13
    Easy setup
  • 5
    Contract-based
  • 4
    Polyglot
  • 2
    Garbage
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    What is gRPC?

    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...

    What is Protobuf?

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

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    Blog Posts

    Jun 6 2019 at 5:11PM

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    GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
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    An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies.
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