Which data format is the most compact?

For flat tabular data, CSV and TSV are the most compact because they do not repeat field names. For structured data with compression, Excel (.xlsx) is often smallest since it uses ZIP compression internally. JSON and XML are the most verbose due to repeated keys/tags.

Which format should I use for configuration files?

It depends on your ecosystem. YAML is standard for Kubernetes and CI/CD pipelines. TOML is standard for Rust and Python. JSON is standard for Node.js and TypeScript. XML persists in Java/Maven and .NET. Choose the format your tools expect natively.

Can Convertee convert between all these formats?

Yes. Convertee supports all 11 formats (CSV, TSV, JSON, XML, YAML, TOML, SQL, Excel, HTML Table, Markdown Table, LaTeX Table) with 110 conversion paths. Every conversion runs entirely in your browser.

Is there a format that works for both APIs and spreadsheets?

JSON is the closest to a universal format. APIs consume it natively, and tools like Google Sheets and Excel can import JSON files. However, for non-technical stakeholders, converting JSON to CSV or Excel before sharing is usually the better experience.

Data Format Comparison: CSV, JSON, XML, YAML, and More

Last updated: 2026-04-15

Developers regularly move data between formats, yet few stop to consider which format actually fits their use case. This guide covers all 11 formats supported by Convertee, comparing them across the dimensions that matter: structure, type fidelity, tooling support, and file size efficiency.

The Formats at a Glance

Format	Data Shape	Types	Primary Use
CSV	Flat table	None (all strings)	Data exchange, spreadsheets
TSV	Flat table	None	Bioinformatics, database exports
JSON	Nested	String, number, boolean, null	APIs, config files
XML	Nested + attributes	None (schema-dependent)	Enterprise, SOAP, document markup
YAML	Nested	String, number, boolean, null, date	Configuration, DevOps
TOML	Shallow nested	String, integer, float, boolean, date	App config (Rust, Python)
SQL	Relational table	Database-dependent	Database operations
Excel (.xlsx)	Multi-sheet table	String, number, date, formula	Business reporting
HTML Table	Flat table	None (all text)	Web pages, documentation
Markdown Table	Flat table	None (all text)	Documentation, READMEs
LaTeX Table	Flat table	None (all text)	Academic papers, typesetting

Choosing by Use Case

Tabular Data Exchange

For flat, row-column data moving between systems, CSV is the universal choice. It is supported by every database, spreadsheet, and scripting language. TSV is preferred in bioinformatics and when cell values frequently contain commas. See our CSV to JSON guide and TSV to CSV guide for conversion workflows.

API Communication

JSON dominates modern APIs. It is the default for REST, the only option for GraphQL responses, and the most common format for webhook payloads. XML persists in SOAP services and legacy enterprise integrations. Converting between them is covered in our XML to JSON and JSON to XML guides.

Configuration Files

YAML is the standard for Kubernetes, Docker Compose, and CI/CD pipelines. TOML is the standard for Rust (Cargo.toml) and Python (pyproject.toml). JSON is used by Node.js (package.json) and TypeScript (tsconfig.json). XML is still present in Maven (pom.xml) and .NET. For a focused comparison, see TOML vs YAML and CSV vs JSON.

Business and Reporting

Excel is the format business teams expect. For developer-to-business handoffs, converting JSON or CSV to Excel eliminates friction. See JSON to Excel and Excel to JSON.

Documentation

Markdown tables render in GitHub, GitLab, and most documentation sites. HTML tables are used in web pages and API docs. Both can be extracted as structured data. See Markdown Table to CSV and HTML Table to JSON.

Academic Publishing

LaTeX tables are required for papers submitted to IEEE, ACM, and most journals. Generating them from CSV or JSON saves hours of manual formatting. See our LaTeX Table Generator guide.

Performance Comparison

Format	1,000 Rows, 5 Columns	Parse Speed	Human Readable
CSV	~50 KB	Very fast	Good
TSV	~50 KB	Very fast	Good
JSON	~120 KB	Fast	Good
XML	~200 KB	Moderate	Verbose
YAML	~90 KB	Moderate	Excellent
Excel	~30 KB (compressed)	Slow (zip + XML)	Requires app

Format Standards Reference

Converting Between Any Two Formats

Convertee supports all 11 formats above with 110 conversion paths. Every conversion runs entirely in your browser — no data is uploaded, no account is needed. Pick your source and target format, paste your data, and convert.

Frequently Asked Questions

Which data format is the most compact?: For flat tabular data, CSV and TSV are the most compact because they do not repeat field names. For structured data with compression, Excel (.xlsx) is often smallest since it uses ZIP compression internally. JSON and XML are the most verbose due to repeated keys/tags.
Which format should I use for configuration files?: It depends on your ecosystem. YAML is standard for Kubernetes and CI/CD pipelines. TOML is standard for Rust and Python. JSON is standard for Node.js and TypeScript. XML persists in Java/Maven and .NET. Choose the format your tools expect natively.
Can Convertee convert between all these formats?: Yes. Convertee supports all 11 formats (CSV, TSV, JSON, XML, YAML, TOML, SQL, Excel, HTML Table, Markdown Table, LaTeX Table) with 110 conversion paths. Every conversion runs entirely in your browser.
Is there a format that works for both APIs and spreadsheets?: JSON is the closest to a universal format. APIs consume it natively, and tools like Google Sheets and Excel can import JSON files. However, for non-technical stakeholders, converting JSON to CSV or Excel before sharing is usually the better experience.