Convert CSV to Parquet
Online Converter: Convert CSV file to Apache Parquet columnar format
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Convert CSV files to Apache Parquet format for optimized storage and faster analytics. Parquet's columnar storage typically reduces file size by 10x while enabling dramatically faster query performance in tools like Apache Spark, AWS Athena, and DuckDB.
If you're working with large datasets, preparing data for a data lake, or optimizing analytics pipelines, converting CSV to Parquet is one of the highest-impact improvements you can make.
Why Convert CSV to Parquet?
- 10x Smaller Files: Parquet's columnar compression dramatically reduces storage requirements compared to CSV.
- Faster Queries: Columnar storage enables query engines to read only the columns needed, skipping irrelevant data entirely.
- Schema Preservation: Unlike CSV, Parquet preserves data types (integers, floats, dates, strings) eliminating parsing overhead.
- Cloud Cost Savings: Smaller files mean lower S3/GCS storage costs and faster data transfer times.
- Analytics Ready: Parquet is the native format for Spark, Athena, BigQuery, Snowflake, and modern analytics platforms.
Common Use Cases
- Data Lake Ingestion: Convert CSV exports to Parquet before uploading to S3, GCS, or Azure Blob for efficient querying.
- ETL Pipeline Optimization: Replace CSV intermediates with Parquet for faster pipeline execution and lower costs.
- Analytics Preparation: Prepare data for Apache Spark, Pandas, or DuckDB analysis with optimized file format.
- Archival Storage: Archive large CSV datasets in compressed Parquet format to reduce storage costs.
About Apache Parquet
Apache Parquet is a columnar storage format designed for efficient data storage and retrieval. It's the industry standard for big data analytics and is supported by virtually every modern data platform.
Platform Support
- Apache Spark, PySpark
- AWS Athena, Redshift Spectrum
- Google BigQuery
- Snowflake, Databricks
- Python Pandas (via pyarrow)
- DuckDB
Format Resources
- Apache Parquet - Official project website
Related Converters
- Parquet to CSV - Convert back to CSV format
- JSON to Parquet - Convert JSON to columnar format
- Excel to Parquet - Convert spreadsheets to Parquet
Frequently Asked Questions
How much smaller will my Parquet file be?
Parquet files are typically 5-10x smaller than equivalent CSV files, depending on data content. Repetitive data and numeric columns compress particularly well.
Will my column types be preserved?
The converter infers data types from your CSV content (numbers, dates, strings) and stores them with proper types in the Parquet schema. This eliminates type parsing when reading the file.
Can I convert large CSV files?
Yes. Large CSV files are handled efficiently, and the resulting Parquet file will be significantly smaller due to columnar compression.
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- Conversion time varies by file size; thank you for your patience.
- Limits apply to maximum conversions and file size. See available plans on the Pricing page.
- Unregistered users: up to 5 conversions/day, up to 50 conversions/month, and 10 MB per file. Sign up to extend your limits.
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