Sorawi Tools

Parquet vs CSV: Which Format Should You Use for Your Data?

Compare Parquet's columnar compression and query speed against CSV's universal simplicity for analytics and interchange.

Storage

Parquet compresses dramatically (often 5-10x) using columnar encoding. CSV is plain text.

Schema

Parquet stores typed schemas. CSV has no types, everything is a string.

Readability

CSV opens anywhere. Parquet requires tooling (Pandas, DuckDB, this converter).

Best For

Parquet: analytics pipelines and storage. CSV: interchange, spreadsheets, humans.

Try the tools

Parquet to CSV Converter

Convert Apache Parquet columnar files into CSV tables that open in Excel, Google Sheets, and any text editor.

Open

CSV to Parquet Converter

Convert CSV files into compressed Apache Parquet columnar format for fast analytics queries and storage.

Open

More comparisons

JPEG vs WebP vs AVIF: Which Image Format Should You Use?

Compare file sizes, quality, and browser support for JPEG, WebP, and AVIF to pick the best format for your website.

JSON vs YAML: Which Data Format Should You Use?

Understand the key differences between JSON and YAML for config files, APIs, and data exchange.

SHA-1 vs SHA-256 vs SHA-512: Which Hash Should You Use?

Security and performance comparison of the most common hash algorithms for integrity verification.

PNG vs JPEG: When to Use Each Image Format

The classic image format dilemma: transparency and lossless quality vs small file sizes.