Data_Encoding_Formats.md

Data Encoding Formats

Name	Base	Concept	Schema	Pros	Cons	Use cases
XML	Text	Extensible Markup Language	Optional	Structure Self-descriptive Widely supported Human-readable	Verbose Parsing complexity Complex schema definitions Data type ambiguity (Cannot distinguish number and string) Not support binary string
JSON	Text	JavaScript Object Notation	Optional	Lightweight Simple Human-readable Widely supported Can distinguish between number and string Good support for Unicode character strings Built-in support in web browsers	Limited data types Lack of schema Verbose for large data Not support binary strings
CSV	Text	Comma-Separated Values	None	Simple Human-readable Widely supported	No Schema Data type ambiguity (Cannot distinguish number and string) Vague (What if value contains comma or newline character)
TSV	Text	Tab-Separated Values	None	Simple Human-readable Widely supported	No Schema Data type ambiguity (Cannot distinguish number and string) Vague (What if value contains tab or newline character)
Protocol Buffers	Binary		Required	Efficiency Strong typing Backward-compatible schema changes	Not human-readable Need careful consideration for schema change
Thrift	Binary		Required	Efficiency Strong typing Backward-compatible schema changes	Not human-readable Not widely adopted
Avro	Binary		Required	Efficiency Supports schema evolution Bulit-in data compression	Not human-readable Not widely adopted
BSON	Binary	Binary JSON, provides a binary representation of JSON-like documents
CBOR	Binary	Concise Binary Object Representation