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About this paper
Wang Wei, Li Na, Zhang Lei, Liu Fang, Chen Hao, Yang Xiuying, Huang Lei, Zhao Min and 13 more
A study comprehensively examines text serialization formats—JSON, XML, YAML, and CSV—providing a comparative analysis of their characteristics, hypothetical performance, data size implications, and processing complexity to guide format selection in system design. The analysis suggests CSV is fastest for tabular data and XML is slowest due to verbosity, with JSON offering a balance of speed and structural flexibility.
Key insights
- Human readability often conflicts with performance optimization, with YAML excelling in readability but sacrificing some performance compared to JSON or CSV.
- There are inherent trade-offs between simplicity and features across formats; simpler formats like CSV offer reliability but limited features, while complex formats like XML provide extensive features but require sophisticated handling.
- Compactness in formats (e.g., CSV, JSON) minimizes storage and transmission costs but may limit structural expressiveness, whereas verbose formats (e.g., XML) provide rich structural information at increased resource cost.
Summary by alphaXiv.
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