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Features not supported in the new data preparation experience - Amazon Quick
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Features not supported in the new data preparation experience

While the new data preparation experience offers enhanced capabilities, some features from the legacy experience are not yet supported. This section outlines these features and provides guidance for handling affected workflows.

When using unsupported data sources, Amazon Quick Sight automatically defaults to the legacy experience. For other unsupported features, select Switch to legacy experience in the top right corner of the data preparation page. Rules Datasets created in the legacy experience remain compatible with both legacy and new experience datasets.

Note

Starting May 2026, the following features are now supported in the new data preparation experience:

  • Incremental refresh

  • Column folders

  • Column descriptions

  • Geospatial data type

  • SPICE parent dataset selection from legacy experience (you can now use a legacy SPICE dataset as a parent for a new experience dataset). Direct Query parent datasets from the legacy experience are not yet supported.

Unsupported data sources

The following data sources are currently available only in the legacy experience.

Data Source Details

Salesforce

Automatically defaults to legacy experience

Google Sheets

Automatically defaults to legacy experience

S3 Analytics

S3 data sources are supported

Other unsupported features

The following features are currently available only in the legacy experience.

Feature Category Unsupported features

Dataset Management

Dataset parameters

Data Types

ELF/CLF formats, Zip/GZip files in S3

Configuration Options

"Start from row" in file upload settings, JODA date format

Future development

Amazon Quick Sight plans to implement these features in the new data preparation experience in the future. This approach ensures that the initial launch for the new data preparation experience prioritizes:

Enhanced capabilities

  • Visual transformation workflows

  • Improved process transparency

  • Advanced preparation techniques through Divergence

  • Powerful new features like Append, Aggregate, and Pivot

Flexible adoption

Users can choose between experiences before publishing datasets, ensuring uninterrupted workflows while teams transition at their own pace. This approach allows immediate access to new capabilities while maintaining support for specialized requirements through the legacy experience.