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This section contains information on the fie formats and compression schemes that are supported for input to and output of  Dataprep by Trifacta

NOTE: To work with formats that are proprietary to a desktop application, such as Microsoft Excel, you do not need the supporting application installed on your desktop.


NOTE: During import, the Dataprep by Trifacta application identifies file formats based on the extension of the filename.

NOTE: Filenames that include special characters can cause problems during import or when publishing to a file-based datastore.

Forbidden characters in import filenames:

The following list of characters present issues in the listed area of the product. If you encounter issues, the following listings may provide some guidance on where the issue occurred.

Tip: You should avoid using any of these characters in your import filenames. This list may not be complete for all available running environments.

  • General:

  • Seb browser: 

  • Excel filenames:


Native Input File Formats

Dataprep by Trifacta can read and import directly these file formats:

  • Excel (XLS/XLSX)

    NOTE: Other Excel-related formats, such as XLSM format, are not supported.

    NOTE: Excel import is supported through file upload only.

    Tip: You may import multiple worksheets from a single workbook at one time. See Import Excel Data in the User Guide.

  • CSV
  • JSON, including nested

    NOTE: Dataprep by Trifacta requires that JSON files be submitted with one valid JSON object per line. Consistently malformed JSON objects or objects that overlap linebreaks might cause import to fail. See Initial Parsing Steps in the User Guide

  • Plain Text
  • LOG
  • TSV
  • Parquet

    NOTE: When working with datasets sourced from Parquet files, lineage information and the $sourcerownumber reference are not supported.

  • Avro

    NOTE: When working with datasets sourced from Avro files, lineage information and the $sourcerownumber reference are not supported.

  • Google Sheets

    NOTE: Individual users must enable access to their Google Drive. No data other than Google Sheets is read from Google Drive.

    See Import Google Sheets Data.

For more information on data is handled initially, see Initial Parsing Steps in the User Guide.

Native Output File Formats

Dataprep by Trifacta can write to these file formats:

  • CSV
  • JSON

  • Avro

  • BigQuery Table

Compression Algorithms

NOTE: Import of a compressed file whose underlying format is binary, such as Excel or PDF, is not supported.

Read Native File Formats

CSV SupportedSupportedSupported


Write Native File Formats

CSVSupportedSupportedNot supported
JSONSupportedSupportedNot supported

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