Private browser-based Parquet reader

Free Online Parquet File Viewer

Open .parquet files directly in your browser. Preview rows, inspect schema, filter values, and read Apache Parquet data without Python, Spark, or a desktop install.

.pq

sample.parquet

Apache Parquet data preview

Local only

Rows

125k

Columns

18

Format

Parquet

customer_idcountryrevenue
C-1042United States$8,420
C-1187Germany$6,310
C-1210Japan$7,905

Online Parquet Viewer Tool

Because every operation runs in your browser, no Parquet data ever leaves your device.

Why use this Parquet viewer online?

Private browser processing

Open Parquet files locally in the browser so sensitive datasets do not need to be uploaded to a server.

Schema inspection

Review column names, data types, and nested structures before loading a file into a pipeline or warehouse.

Fast row preview

Read sample rows in a table view and quickly confirm that the file contains the expected records.

Filter and explore

Search and filter values to debug data quality issues without opening Python, Spark, DuckDB, or command-line tools.

What is an Apache Parquet file?

Apache Parquet is a columnar data file format designed for analytics workloads. It is widely used in data lakes, Spark jobs, cloud warehouses, and machine learning pipelines because it stores data efficiently by column.

This online Parquet reader gives analysts, developers, and data teams a quick way to open .parquet files, verify schema, and preview data before using heavier tools.

1

Columnar storage

Parquet stores values by column, which helps analytical engines scan only the fields they need.

2

Built-in schema

Each file carries metadata about columns, types, compression, and nested structures.

3

Compressed data

Common codecs such as Snappy, Gzip, and Zstd reduce file size while keeping data practical to query.

4

Not plain text

A Parquet file cannot be inspected like CSV in a text editor, so a dedicated Parquet file viewer is useful.

How to open a Parquet file online

  1. 1

    Upload or drag in a .parquet file

    Choose a local Parquet file from your computer. The viewer starts reading it in your browser.

  2. 2

    Inspect schema and columns

    Check column names, data types, row counts, and metadata to understand the structure of the dataset.

  3. 3

    Preview and filter rows

    Browse the data table, search for values, and confirm that records look correct before analysis.

  4. 4

    Continue with the right tool

    Use the related converters or chart tools when you need CSV output, visual exploration, or GeoParquet support.

Who is this Parquet file viewer for?

Analysts and BI teams

Open a Parquet file quickly, check columns, and understand sample records before reporting or dashboard work.

Data engineers

Validate schema changes, compression, and row previews before moving files through ETL or lakehouse pipelines.

Data QA workflows

Spot nulls, type mismatches, and unexpected values without setting up Python, Spark, or a notebook.

Parquet viewer FAQ

How do I open a Parquet file online?

Use the upload area to select a .parquet file from your computer. The viewer reads the file in your browser and shows schema information and row previews.

Is this online Parquet viewer free?

Yes. You can use the Kanaries Parquet viewer online for free to inspect Parquet files in your browser.

Are my Parquet files uploaded to a server?

No. The viewer is designed to process files locally in your browser, so your Parquet data stays on your device.

Can I read Parquet files without Python or Spark?

Yes. This browser-based Parquet reader lets you preview .parquet files without installing Python, Spark, DuckDB, Hadoop, or desktop software.

Can I convert Parquet to CSV?

If you need CSV output, use the related Parquet to CSV converter to preview a .parquet file and download it as .csv.