Free · Private · Browser-based
Free Parquet File Viewer Online
Open a .parquet file, inspect its schema and compression, and sort or filter every parsed row without uploading the file.
Analyze with SQL
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Open every parsed row
Virtualized rows keep large flat tables usable.
Inspect the schema
See column names, types, and compression details.
Export what you see
Filters and sorting carry into a safe CSV download.
What is a Parquet file?
Apache Parquet is a binary, column-oriented file format used in data warehouses, lakehouses, and analytics pipelines. It stores typed columns efficiently, but that means a text editor or ordinary spreadsheet cannot show it directly.
This online Parquet reader decodes the file locally and gives you a practical table plus schema details. If you need a portable text copy, use the dedicated Parquet to CSV converter. If you need a file to test with, open or download the sample Parquet file.
Plain answers
Parquet viewer questions
How do I open a Parquet file?+
Choose or drop a .parquet file up to 50 MB in the viewer. It reads the file in this browser tab and displays the schema and rows, so you do not need Python, DuckDB, an install, or an account.
Is this Parquet reader private?+
Local viewing and conversion do not upload your selected file. The separate Analyze with SQL workflow uploads it directly to private Loam object storage; filenames, SQL, columns, and cell values are not recorded in operational telemetry.
What is the file-size limit?+
The viewer accepts Parquet input files up to 50 MB. A compressed file can require much more browser memory after decoding, so available memory can still limit unusually large or wide datasets.
Can I filter and sort Parquet rows?+
Yes. Use the filter under any column, and select a column heading to sort ascending or descending. Export CSV uses the active filtered and sorted view.
Can I convert Parquet to CSV?+
Yes. Open the file, optionally filter or sort it, and select Export active view. The CSV download is created locally in your browser.
Which compression formats can the viewer read?+
The browser parser includes uncompressed, Snappy, Gzip, Brotli, LZ4, LZ4 Raw, and Zstandard decompression support. Some unusual nested schemas may still display differently from flat tabular files.