Instant table preview
Page through large datasets with projection pushdown, visible columns only, and responsive scrolling.
Runs in your browser — native on macOS
Parquet Viewer
Open local Apache Parquet files instantly, inspect schema and row groups, filter massive tables, and export clean slices. Start right in your browser — nothing to install — or go native with the macOS app. Your data never leaves your machine.
- No install
- Runs in your browser
- Private
- Files are never uploaded
- SQL
- Query columns with SQL
Built for real datasets
Everything you need to understand a Parquet file quickly.
Schema and row groups
Inspect logical types, encodings, nullability, min/max values, row group sizes, and column chunk metadata.
Filters without guesswork
Build predicates visually, peek at distinct values, sort columns, and keep the generated SQL visible.
Private exports
Export filtered rows and selected columns to CSV, JSON Lines, or Parquet — straight from your browser or your Mac, never a server.
Daily workflow
From unknown file to trusted answer.
- Open Drop in a `.parquet` file or a partitioned folder and see the first rows, row count estimate, and schema.
- Inspect Compare columns, metadata, histograms, null rates, and min/max ranges before writing a query.
- Filter Use the visual builder or editable SQL to isolate exactly the rows you need.
- Export Save a clean slice for downstream analysis, QA, or customer support.
Two ways to use it
Open it in the browser, or go native on your Mac.
Web viewer
Free, in your browser
- Nothing to install — open a file and go
- Everything runs locally; data stays on device
- Schema, filters, sorting, and an editable SQL surface
- Export slices to CSV, JSON Lines, or Parquet
macOS app
Native for power users
- Native engine for instant startup
- Folder datasets and partition discovery
- Handles huge local files without full loads
- Quick Look integration and offline by default