CSV vs JSON
Ein detaillierter Vergleich von CSV (Comma-Separated Values) und JSON Data — Dateigröße, Qualität, Kompatibilität und welches je nach Workflow zu wählen ist.
CSV (Comma-Separated Values)
Spreadsheets & DataCSV is a simple text-based format for tabular data where values are separated by commas. It is the universal interchange format for data between spreadsheet applications, databases, and programming languages.
Über CSV-DateienJSON Data
Documents & TextJSON (JavaScript Object Notation) is a lightweight data interchange format that is human-readable and easy for machines to parse and generate. It has become the dominant format for web APIs, configuration files, and structured data exchange.
Über JSON-DateienVorteilsvergleich
CSV Vorteile
- Universally readable — every spreadsheet, database, and programming language.
- Human-readable in any text editor.
- Stream-friendly — can process terabytes with constant memory.
- Git-friendly — clean diffs of row changes.
- Tiny overhead vs columnar data structures for simple data.
JSON Vorteile
- Dead-simple — you can memorize the entire grammar on one page.
- Native parsers in every programming language.
- Human-readable and easy to debug.
- Compact — much smaller than equivalent XML.
- Frozen spec — a JSON parser written in 2010 still handles new JSON files from 2026.
Einschränkungen
CSV Einschränkungen
- No standard — quoting, escaping, encoding, and separators vary wildly.
- No type information: 0042 might be an integer, a string, or an error.
- Leading zeros and large numbers often get mangled by Excel auto-conversion.
- Not suitable for hierarchical or binary data.
- Breaks when content contains the delimiter and the parser is naive.
JSON Einschränkungen
- No comments allowed — config files feel verbose.
- No trailing commas — a constant source of parse errors.
- No native date, decimal, or binary types — everything is strings or numbers.
- Easily bloated by repeated keys; large payloads compress poorly vs binary alternatives.
- Streaming is awkward — JSON wants to be parsed whole.
Technische Spezifikationen
| Spezifikation | CSV | JSON |
|---|---|---|
| MIME type | text/csv | application/json |
| Specification | RFC 4180 (informational) | — |
| Typical separator | Comma (;), semicolon, tab, pipe | — |
| Typical encoding | UTF-8, Windows-1252, ISO-8859-1 | — |
| Line endings | LF (Unix), CRLF (Windows) | — |
| Extension | — | .json |
| Standard | — | ECMA-404, RFC 8259 |
| Encoding | — | UTF-8, UTF-16, or UTF-32 |
| Allowed types | — | object, array, string, number, boolean, null |
Typische Dateigrößen
CSV
- Contact export (1000 rows) 100–300 KB
- Analytics export (100k rows) 10–100 MB
- Large dataset (1M rows) 100 MB – 1 GB
- Full database dump 1 GB – 100 GB
JSON
- Small config < 1 KB
- REST API payload 1-100 KB
- Database export 10 MB - 100 GB
Bereit zum Umwandeln?
Wandle zwischen CSV und JSON online um, kostenlos und ohne Installation. Verschlüsselter Upload, automatische Löschung in 60 Minuten.
Häufig gestellte Fragen
CSV (Comma-Separated Values) is a plain text format for tabular data where each line represents a row and commas separate column values. It is the universal interchange format for databases, spreadsheets, and data analysis tools.
CSV (Comma-Separated Values) is a plain text formato para tabular data where each line represents a row e commas separate column values. It is the universal interchange formato para databases, spreadsheets, e data analysis ferramentas.
CSV files open in Microsoft Excel, Google Sheets, LibreOffice Calc, Apple Numbers, and any text editor like Notepad or VS Code. Programming languages like Python and R have built-in CSV parsing libraries.
CSV arquivos abrir in Microsoft Excel, Google Sheets, LibreOffice Calc, Apple Numbers, e any text editor like Notepad ou VS Code. Programming languages like Python e R have built-in CSV parsing libraries.
Use CSV for data interchange between systems, database imports/exports, and programmatic processing. Use XLSX when you need formatting, formulas, charts, or multiple sheets that CSV cannot represent.
Use CSV para data interchange between systems, database imports/exports, e programmatic processing. usar XLSX when you need formatoting, formulas, charts, ou multiple sheets that CSV cannot represent.