CSV vs Apache Parquet: Which Should You Use?
Side-by-side comparison of CSV and Apache Parquet data formats — features, pros, cons, and conversion options.
CSV is best for Tabular data exchange between applications, databases, and spreadsheets. Apache Parquet is best for Big data analytics, data lakes, and columnar query engines.
Quick Verdict
- ✓ Universal compatibility across all platforms
- ✓ Human readable in any text editor
- ✓ Small file size with minimal overhead
- ✗ No data type preservation
- ✓ Columnar storage for extremely fast analytics
- ✓ Excellent compression ratios
- ✓ Schema evolution support
- ✗ Not human readable
Specs Comparison
Side-by-side technical comparison of CSV and Apache Parquet
| Feature | CSV | Apache Parquet |
|---|---|---|
| Category | Data | Data |
| Year Introduced | 1972 | 2013 |
| MIME Type | text/csv | application/vnd.apache.parquet |
| Extensions | .csv | .parquet |
| Plain Text | ✓ | ✗ |
| Typed | ✗ | ✓ |
| Nested | ✗ | ✓ |
| Human Readable | ✓ | ✗ |
| Schema Support | ✗ | ✓ |
| Streaming | ✓ | ✗ |
| Binary Efficient | ✗ | ✓ |
Pros & Cons
CSV
- ✓ Universal compatibility across all platforms
- ✓ Human readable in any text editor
- ✓ Small file size with minimal overhead
- ✗ No data type preservation
- ✗ Escaping complexity with commas and quotes
- ✗ No multi-sheet or nested data support
Apache Parquet
- ✓ Columnar storage for extremely fast analytics
- ✓ Excellent compression ratios
- ✓ Schema evolution support
- ✗ Not human readable
- ✗ Requires specialized tools to inspect
- ✗ Overkill for small datasets
When to Use Each
Choose CSV when...
- You need files optimized for Tabular data exchange between applications, databases, and spreadsheets
- Universal compatibility across all platforms
- Human readable in any text editor
Choose Apache Parquet when...
- You need files optimized for Big data analytics, data lakes, and columnar query engines
- Columnar storage for extremely fast analytics
- Excellent compression ratios
How to Convert
Convert between CSV and Apache Parquet for free on ChangeThisFile
Frequently Asked Questions
CSV is best for Tabular data exchange between applications, databases, and spreadsheets, while Apache Parquet is best for Big data analytics, data lakes, and columnar query engines. Both are data formats but they differ in compression, compatibility, and intended use cases.
It depends on your use case. CSV is better for Tabular data exchange between applications, databases, and spreadsheets. Apache Parquet is better for Big data analytics, data lakes, and columnar query engines. Consider your specific requirements when choosing between them.
Go to the CSV to Apache Parquet converter on ChangeThisFile. Upload your file and the conversion processes on the server, then auto-deletes. It's free with no signup required.
Yes. ChangeThisFile supports Apache Parquet to CSV conversion. Upload your file for server-side conversion — files are auto-deleted after processing.
File size varies depending on the content, compression method, and quality settings of each format. In general, lossy formats produce smaller files than lossless ones. Test with your specific files to compare actual sizes.
Yes, CSV supports plain text, but Apache Parquet does not. This may be important depending on your use case.
Both CSV and Apache Parquet are supported file formats that are free to use. You can convert between them for free on ChangeThisFile — server-side conversions are free with no signup required.
Apache Parquet is newer — it was introduced in 2013, while CSV dates back to 1972. Newer formats often offer better compression and features, but older formats tend to have wider compatibility.
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