CSV to Parquet Converter
Convert CSV files to Apache Parquet format instantly in your browser. Automatic type inference, Snappy compression, no uploads required.
How to Use CSV to Parquet Converter
How to Use CSV to Parquet Converter
What is Apache Parquet?
Apache Parquet is a columnar storage format widely used in data engineering and analytics. Compared to CSV, Parquet offers:
- Smaller file sizes β typically 2β10x smaller due to columnar encoding and compression
- Faster queries β column pruning means only relevant columns are read
- Type safety β explicit schema with typed columns
- Wide ecosystem support β Spark, Flink, BigQuery, Redshift, DuckDB, Pandas, and more
Step 1: Upload Your CSV File
Click the upload area or drag and drop your .csv file. The first row must contain column headers. Maximum file size: 50MB.
Step 2: Convert
Click "Convert to Parquet". The tool:
- Parses the CSV (handles quoted values, commas in fields)
- Infers the column type for each column (BOOLEAN, INT32, INT64, DOUBLE, or STRING)
- Writes a Parquet file with Snappy compression
Step 3: Download
Click "Download Parquet" to save the .parquet file. The output uses the same base name as the input.
Type Inference
The converter automatically detects column types:
true/falsevalues β BOOLEAN- Whole numbers fitting 32-bit range β INT32
- Whole numbers outside 32-bit range β INT64
- Decimal numbers β DOUBLE
- Everything else β STRING
Tips
- Ensure your CSV has a header row as the first line
- Empty cells in numeric columns are stored as null
- For large datasets (10MB+), processing may take a few seconds
- The output Parquet file uses Snappy compression by default
- All processing is offline after page load β no internet required
Frequently Asked Questions
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