CSV → Parquet -muunnin - Ilmainen työpöytäsovellus

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.

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.

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.

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.

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.

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.

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.

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