Parquet Viewer Download on the App Store

Native macOS Parquet inspection

Parquet Viewer

Open local Apache Parquet files instantly, inspect schema and row groups, filter massive tables, and export clean slices without uploading your data.

Offline
Local files stay local
Huge files
Preview without full loads
SQL
Query columns with SQL
Parquet Viewer app showing a schema sidebar, data table preview, and column statistics inspector.
Single files Partitioned folders Schema metadata Filter builder CSV and JSON export

Built for real datasets

Everything you need to understand a Parquet file quickly.

Instant table preview

Page through large datasets with projection pushdown, visible columns only, and responsive scrolling.

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 directly from your Mac.

Daily workflow

From unknown file to trusted answer.

  1. Open Drop in a `.parquet` file or a partitioned folder and see the first rows, row count estimate, and schema.
  2. Inspect Compare columns, metadata, histograms, null rates, and min/max ranges before writing a query.
  3. Filter Use the visual builder or editable SQL to isolate exactly the rows you need.
  4. Export Save a clean slice for downstream analysis, QA, or customer support.

Simple packaging

Start free. Upgrade when your datasets get serious.

Pro

For power users

  • Advanced filters and saved views
  • Folder datasets and partition discovery
  • Exports, SQL editor, and Quick Look
Download on the App Store