Parquet File Viewer — Browser-Based Reader
View Apache Parquet files in your browser — browse rows, inspect schema, and explore metadata. No code, no server, no uploads.
How to Use Parquet File Viewer — Browser-Based Reader
How to Use Parquet File Viewer
What is Apache Parquet?
Apache Parquet is a columnar storage format used throughout the big data ecosystem (Spark, Hadoop, BigQuery, Redshift, Snowflake). Parquet files are binary and cannot be opened directly in a text editor. This viewer lets you explore their contents in your browser — no code required.
Step 1: Upload Your Parquet File
Click the upload area or drag and drop your .parquet file. Maximum file size: 100MB. All processing happens entirely in your browser — your file is never uploaded to any server.
Step 2: Browse Data
After loading, the tool shows:
- File summary — file name, size, row count, and column count
- Data tab — paginated table showing all rows (100 rows per page)
- Schema tab — column names and their Parquet types
Data Tab
The data table displays rows with row numbers and all column values. Long values are truncated but can be seen in full by hovering. Navigate pages using the Previous/Next buttons.
Schema Tab
The schema tab lists every column with:
- Column index number
- Column name
- Parquet type (e.g. STRING, INT32, INT64, DOUBLE, BOOLEAN, TIMESTAMP)
Tips
- For large files (50MB+), initial loading may take a few seconds
- Nested/complex column types show their logical type (e.g. TIMESTAMP, UUID)
- Null values appear as empty cells in the table
- All processing is offline after page load — no internet required
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