Parquet Data Viewer

Parquet Data Viewer

Parquet Data Viewer is an open-source tool for visually exploring and analyzing Parquet files. It allows you to view Parquet data structures, preview data values, run SQL queries, and generate statistics.
Parquet Data Viewer image
parquet viewer sql visualization open-source

Parquet Data Viewer: Explore & Analyze Parquet Files

An open-source tool for visually exploring and analyzing Parquet files, allowing you to view data structures, preview values, run SQL queries, and generate statistics.

What is Parquet Data Viewer?

Parquet Data Viewer is an open-source, cross-platform application for visually analyzing and exploring Parquet data files. Developed by Atlan, it provides an intuitive graphical interface to examine the contents of Parquet files without needing to write code.

With Parquet Data Viewer, you can quickly:

  • See the data types, compression types, row group information, and full schema of Parquet datasets
  • Preview actual values in the Parquet file to verify the data
  • Run SQL queries on Parquet data to filter, aggregate, and analyze
  • View queried data visually with charts and statistics
  • Export queried Parquet data as CSV/JSON for further analysis

Key features include a schema browser, data preview, SQL editor with visualization, and the ability to handle very large Parquet files with fast response times. The tool is written in Java and works on Windows, Mac OS X, and Linux.

Parquet Data Viewer makes inspecting, diagnosing, and exploring Parquet data intuitive and efficient for both technical and non-technical users. It's an indispensable tool for data engineers, analysts, and data scientists working with the popular columnar data format.

Parquet Data Viewer Features

Features

  1. Visualize Parquet file structures
  2. Preview data values
  3. Run SQL queries against Parquet files
  4. Generate statistics on Parquet data
  5. Support for complex data types
  6. Filtering and searching data
  7. Export query results

Pricing

  • Open Source

Pros

Open source and free to use

Simple and intuitive UI

Fast querying of large Parquet datasets

Platform independent

Active development and community

Cons

Limited to only Parquet file format

Basic visualizations and charts

Lacks some advanced analytics features


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