Convert Parquet to TSV

Convert Parquet to TSV in seconds with this free online Parquet to TSV converter

Accepts parquet


Apache Parquet (.parquet) is a format that was designed for storing tabular data on disk. It was designed based on the format used in Google's Dremel paper (Dremel later became Big Query).

Parquet files store data in a binary format, which means that they can be efficiently read by computers but are difficult for people to read.

Parquet files have a schema, so means that every value in a column must have the same type. The schema makes Parquet files easier to analyse than CSV files and also helps them to have better compression so they are smaller on disk.


TSV (Tab Separated Values) files are the same as CSV files, except values in a row are separated by a tab.

Values within a row are separated by tabs. Rows are separated by newlines.

TSV files often start with a header row that has column names, but this is not required.

Each row in a TSV file mush have the same number of values as the header row.

TSV files do not enforce types or a schema. This means that each column can have multiple types, which can make analysis difficult and compression inefficient.

Parquet files can be easier to analyze and compress better than TSV files.

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How to Convert Parquet to TSV

Viewing converted data
  1. Select your input Parquet file
  2. Your Parquet file will be converted to TSV
  3. Download your TSV file
  4. Click the View button to view your file

How to Convert Parquet to TSV in Python using Pandas

First, we need to install pandas

pip install pandas

Then we can load the Parquet file into a dataframe

df = pd.read_parquet('path/to/file.parquet')

Finally, we can export the dataframe to the TSV format

df.to_csv('path/to/file.tsv', sep='\t', index=False)