Parquet File Viewer

Open and View Parquet Files for Free. Easily convert files to other formats like CSV, TSV, JSON, and more.

How to View Parquet File

  • Upload your Parquet file by dragging and dropping it or clicking the "Upload Parquet File" button.
  • Wait for the file to be processed. This may take a couple of seconds.
  • Once the file is processed, you can view the data in the table.
  • You can export the data to CSV, TSV, JSON, and Excel by clicking the "Export" button.
  • You can search and filter the data in the table by clicking the "Search" button.

Features of Parquet Viewer

Unlimited file size and views

You can upload files of any size and view them without any limits.

Best in class performance

Built with the latest technologies to provide the best performance.

Secure and private

Your data is secure and private. Everything happens in your browser.

Search and filter

Search and filter your Parquet file to find the data you need.

Quick export

Quickly export your Parquet file to CSV, TSV, JSON, and other formats.

No sign up required

You can use Parquet Viewer without creating an account.

Benefits of Parquet File Format

  • Parquet is a columnar format that is optimized for performance and storage efficiency.
  • Parquet is open source and free to use.
  • It is a self-describing format. The schema is stored in the file itself.
  • Since Parquet supports compressions, it is highly efficient in terms of storage.
  • Parquet is a binary format that is more efficient than CSV and JSON.

How to View Parquet File Programmatically

How to View Parquet File using Pandas

Python code to read a parquet file using Pandas. The parquet file will be loaded into a Pandas DataFrame.

# Import Pandas library
import pandas as pd

# Read the parquet file
df = pd.read_parquet('data.parquet')

# Print the data
print(df)

How to View Parquet File using PyArrow

Python code to read a parquet file using PyArrow. The parquet file will be loaded into a PyArrow Table.

# Import required libraries
import pyarrow.parquet as pa

# Read the parquet file
table = pa.read_table('data.parquet')

# Convert to pandas dataframe
df = table.to_pandas()
print(df)

How to View Parquet File using DuckDB

Python code to read a parquet file using DuckDB. The parquet file can be queried using DuckDB SQL.

# Import DuckDB library
import duckdb

# Read the parquet file
result = duckdb.sql("SELECT * FROM 'data.parquet'")

# Print the data
print(result)