JSON
JSON

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Protobuf
Protobuf

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JSON vs Protobuf: What are the differences?

JSON: A lightweight data-interchange format. JavaScript Object Notation is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language; Protobuf: Google's data interchange format. Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler.

JSON can be classified as a tool in the "Languages" category, while Protobuf is grouped under "Serialization Frameworks".

Protobuf is an open source tool with 35.6K GitHub stars and 9.66K GitHub forks. Here's a link to Protobuf's open source repository on GitHub.

According to the StackShare community, JSON has a broader approval, being mentioned in 20 company stacks & 104 developers stacks; compared to Protobuf, which is listed in 25 company stacks and 11 developer stacks.

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What is JSON?

JavaScript Object Notation is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language.

What is Protobuf?

Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler.
Why do developers choose JSON?
Why do developers choose Protobuf?
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          What are some alternatives to JSON and Protobuf?
          YAML
          A human-readable data-serialization language. It is commonly used for configuration files, but could be used in many applications where data is being stored or transmitted.
          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.
          MongoDB
          MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
          OData
          It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.
          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.
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