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CSV to Parquet Converter - Free Desktop App

Convert CSV to Parquet offline. Get 10-100x faster queries and 80% smaller files. Perfect for big data analytics. Handle billions of rows. 100% private, no upload.

Free β€’ No Signup Required
Works 100% Offline β€’ No Internet Required
No Upload β€’ 100% Privacy β€’ Files Stay Local

Convert to High-Performance Format

10-100x faster queries, 80% smaller files

Your CSV files will be converted to Parquet format with columnar compression. Perfect for data analytics, big data workflows, and repeated analysis on large datasets.

Note: Parquet is a columnar format - it stores data by column instead of row, making filtering and searching dramatically faster for column-specific operations.

Why Desktop CSV to Parquet Converter Beats Online Tools

Feature Online Tools Diwadi Desktop
Upload Required ❌ Required 🎯 Never
File Size Limit ❌ 50MB max ♾️ Unlimited
Speed ⏳ Slow (upload/download) ⚑ Instant
Batch Processing ❌ 1 file βœ… 1000s
Privacy ⚠️ Risky (cloud upload) πŸ”’ 100% Local
AI Features ❌ No πŸ€– Yes
Offline ❌ No βœ… Yes
Cost Free Free βœ…

Parquet vs CSV Performance

Operation (100M rows) CSV Parquet Speed Gain
File Size 20 GB 4 GB 80% smaller
Open File 5 min 10 sec 30x faster
Filter Column 3 min 2 sec 90x faster
Search Value 2.5 min 1 sec 150x faster
Sum Column 90 sec 1 sec 90x faster

Why Parquet is Faster

Parquet uses columnar storage - it stores data by column instead of row. When filtering or searching, Parquet only reads the relevant columns, not the entire file. This makes column-specific operations 10-100x faster than CSV.

How It Works

1

Download & Install

Takes just 30 seconds. No account, no credit card required.

2

Browse & Select Your CSV Files

Navigate your files like a regular file browser. Batch processing supported.

3

Get Parquet Files (10-100x faster, 80% smaller) (Instant)

Processing happens locally on your computer. No upload wait.

Why Choose Diwadi Desktop?

πŸ”’

Privacy First

Files never leave your computer. No cloud upload, no data collection, 100% local.

⚑

Lightning Fast

Process files 10x faster than online tools. No upload wait, no download wait.

♾️

No Limits

Convert unlimited files of any size. Batch process thousands in one click.

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AI-Powered

Smart formatting detection, auto-cleanup, better accuracy.

πŸ’»

Works Offline

No internet required. Perfect for flights, secure environments.

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Free to Use

No trial limits, no watermarks, no credit card required.

Frequently Asked Questions

What is Parquet format?

Parquet is a modern columnar storage format developed by Apache. It's optimized for big data analytics - storing data by column instead of row makes filtering and searching 10-100x faster, especially for column-specific operations. Files are also 80-90% smaller than CSV.

Why convert CSV to Parquet?

Convert CSV to Parquet for dramatic performance gains: 10-100x faster queries (especially column operations), 80-90% smaller files, better for repeated analysis, and handles billions of rows efficiently. Perfect for large datasets, data analytics, and data engineering workflows.

How much faster is Parquet than CSV?

Parquet is typically 10-100x faster for filtering, searching, and aggregations, especially on column-specific operations. For example, filtering 100M rows by a column value: CSV takes 3 minutes, Parquet takes 2 seconds. The speed difference is dramatic for large datasets.

How much smaller are Parquet files?

Parquet files are typically 80-90% smaller than CSV due to columnar compression. A 10GB CSV often becomes a 2GB Parquet file. This means faster transfers, less storage, and quicker loading times.

Can I convert Parquet back to CSV?

Yes! Diwadi supports bidirectional conversion. Convert Parquet back to CSV anytime for compatibility with tools that don't support Parquet. The conversion is lossless - all data is preserved.

Will I lose data when converting to Parquet?

No! Parquet conversion is lossless - all data is preserved perfectly. Parquet also preserves data types (unlike CSV where everything is text), making it superior for data integrity.

What tools can open Parquet files?

Parquet is supported by: Diwadi (GUI), Python pandas, Apache Spark, DuckDB, BigQuery, Snowflake, Databricks, AWS Athena, and most modern data tools. It's an industry standard for big data analytics.

Is CSV to Parquet conversion free?

Completely free with unlimited conversions. No file size limits, no watermarks, no credit card required.