Convert Parquet to CSV

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

Accepts parquet


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.

CSV

CSV (Comma Separated Values) files are the most common format for storing tabular data. Values in a row are separated by commas and rows are separated by newlines.

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

Each row in a CSV file must have the same number of values as the header row.

CSV files do no 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 CSV files.


Supercharge your data exploration

Open csv, parquet, arrow, json and tsv files straight from your desktop

Or


Share and embed

Share your graphs and data sets.

Share your graphs and data sets. Or embed them directly into web pages.


Work straight from Google Drive

Open csv, parquet, arrow, json and tsv files directly from Drive, Gmail and Classroom by installing the Google Workspace App


How to Convert Parquet to CSV

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

How to Convert Parquet to CSV in Python

We can convert Parquet to CSV in Python using Pandas or DuckDB

How to Convert Parquet to CSV 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 CSV format

df.to_csv('/path/to/file.csv', index=False)

How to Convert Parquet to CSV using DuckDB

First, we need to install duckdb for Python

pip install duckdb

The following duckdb query will copy the contents of a single Parquet file to a CSV file

duckdb.sql("""COPY (select * from 'path/to/file.parquet') TO 'path/to/file.csv' (HEADER, FORMAT 'csv')""")

If you have more than one Parquet file with the same schema (e.g. your Parquet files are partitioned) then you can use the following

duckdb.sql("""COPY (select * from read_parquet(['path/to/file1.parquet', 'path/to/file2.parquet'])) TO 'path/to/file.csv' (HEADER, FORMAT 'csv')""")

What are Parquet and CSV Formats

Parquet is an efficient file format used by a lot of data processing frameworks. But it cannot easily be used on personal computers because there are not many programs to interpret them.

A CSV file is often more useful than a Parquet file because it is easily understood by a lot of applications. Data stored in a CSV file does not compress very efficiently, so it is not as useful for storing large datasets.

Use this tool to convert a Parquet file to a CSV file.

When to Use a CSV File Instead of a Parquet File

Parquet is a columnar file format for storing tabular data. It compresses well, which makes Parquet files good for storing tabular data in data storage.

Many data processing systems use the Parquet file format because it has efficient data compression and can be easily converted to the Apache Arrow data format.

CSV files are easily read by computer and text editors. This makes the CSV format useful for uploading to other systems. CSV data does not compress well, so it is not as useful as Parquet files for putting into data storage.

A CSV file is more useful than a Parquet file when you need to upload data to different systems or applications.

Parquet files are more useful than CSV files when you need to compress and store data.

You can convert Parquet to CSV using the Parquet to CSV converter at the top of this page.

Can we convert Parquet file to CSV

Yes, with this Parquet to CSV converter you can convert your Parquet file to a CSV file.

You can also use the Parquet Viewer to view your file, or visit Explore to explore the data in your file.

Is Parquet similar to CSV

Parquet and CSV are both used for storing tabular data, so in some ways they are similar.

CSV files are stored in plaintext, which means that lots of different kinds of software can open them. Parquet files are stored as binary data, which means you will need special software to open and view them. You can use the Parquet Viewer to open and view your parquet file.

Parquet files compress really well and are easy to analyse because they:

  • have a predefined schema
  • use columnar storage format

If you have lots of data then Parquet file format can be a better choice than storing your data as a CSV. If you only have a small amount of data and want to open your data with different kinds of software then the CSV format can be a better choice.