Free Online Parquet Viewer
Inspect a Parquet export locally before it reaches another system.
Check or compare Parquet exports before they reach the next system
You do not need Python, Spark or a warehouse just to find a bad export or compare two related ones. Here it takes three steps:
- 1Drop one export in, or open several related files together.
- 2Check their schema, types, nulls and row groups; join two files when you need to find a mismatch.
- 3Download the small result as CSV or JSON to share or investigate.
What a Parquet file tells you before a row is read
Parquet carries its schema in the footer, so the shape of the file is known without scanning it. All of this appears the moment you pick the file:
- Row groups, and the codec that compressed them
- Size on disk against uncompressed size, and the ratio between them
- Every column with its type
- Per column: minimum, maximum, how many nulls
- The writer that produced the file
Nothing leaves the tab
The file is opened from your disk and read where it sits, so there is no upload and no copy on a server. Queries are read-only, which means the file you opened is the file you still have, and closing the tab leaves nothing behind.
From one file to a complete data workflow
Browse Parquet alongside CSV, JSON, databases, and S3. DBConvert Streams adds schema exploration, cross-source SQL, comparison, and repeatable conversion workflows.
Need help with a file? Contact us