lookup> .parquet

.PARQUET·File Extension

Parquet Data FileColumnar storage format for big-data analytics.

Extension.parquet
File typeParquet Data File
CategoryData & Text
Charset
CompressibleNo
Format familyparquet

What is a .parquet file?

A .parquet file is a Parquet Data File — Columnar storage format for big-data analytics.

In the mime-db registry it maps to application/vnd.apache.parquet, and it is marked as non-compressible. When serving .parquet over HTTP, set the Content-Type header as shown in Developer info below.

Related entities: it maps to application/vnd.apache.parquet — and is delivered over HTTP via the Content-Type header.

  • Use Python or Apache Spark to open and edit .parquet files.
  • Any text editor (Notepad, VS Code) can inspect the raw content as text.

When served over HTTP, responses should set the following header:

Content-Type: application/vnd.apache.parquet

Common software that reads/writes .parquet:

PythonApache SparkDuckDB
.parquetextension of
format
parquetserved as
mime type
application/vnd.apache.parquetsent via header
http header
  • Configuration files
  • Data interchange between systems
  • API request and response payloads
  • Logs and data exports
  • Open the file with Python, make your changes and save.
  • Most editors preserve the original formatting and encoding — avoid changing the charset.
  • Create a new file and save it with the .parquet extension, or export this format from Python.

What programs can open .parquet files?

Common options include Python, Apache Spark, DuckDB. You can also open many of these files with built-in viewers or a browser.

How do I create a .parquet file?

Create a new file in any text editor or the app that owns the format and save it with the .parquet extension.

What is the relationship between .parquet and the application/vnd.apache.parquet MIME type?

application/vnd.apache.parquet is the media type identifier used for .parquet files during network transfer (for example in the HTTP Content-Type header).

Updated 2026-08-18

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