Excel is where data goes to lose its types. Dates become numbers, integers become floats, and “TRUE” becomes a string. Converting to Parquet fixes all of that — and PondPilot lets you do it in the browser with SQL-powered transformations.
How to Convert
- Open app.pondpilot.io
- Drop in your
.xlsxfile - Preview the data and fix any issues with SQL
- Export as Parquet
The conversion runs entirely in your browser via DuckDB WebAssembly. Your Excel file never leaves your machine.
Why Parquet Over Excel?
- 10-50x smaller file sizes due to columnar compression
- Typed columns — integers stay integers, dates stay dates
- Fast to query — columnar format means analytics engines love it
- Universal — works with Spark, DuckDB, Pandas, Polars, BigQuery, Snowflake, and everything else
Clean Up During Conversion
Excel files are messy. PondPilot lets you fix that:
SELECT
TRIM(name) as name,
TRY_CAST(revenue as DECIMAL(12,2)) as revenue,
STRPTIME(date_string, '%m/%d/%Y')::DATE as order_date
FROM excel_data
WHERE name IS NOT NULL AND name != ''
Remove empty rows, fix types, rename columns — then export a clean Parquet file.
Common Use Cases
- Data engineers converting Excel reports into pipeline-friendly formats
- Analysts archiving Excel data in a more efficient format
- Scientists preparing Excel datasets for analysis in Python or R
- Anyone tired of emailing 50MB Excel files that could be 2MB Parquet files
Privacy
Financial reports, HR data, customer lists — Excel files often contain sensitive business data. PondPilot processes everything locally. No upload, no cloud, no risk.
Get Started
Visit app.pondpilot.io and convert your Excel file to Parquet.