Data preparation limits - Amazon Quick Suite
Dataset size limits (SPICE)Workflow structure limits
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Data preparation limits

Amazon Quick Sight's data preparation experience is designed to handle enterprise-scale datasets while maintaining optimal performance. The following limits ensure reliable functionality.

Dataset size limits (SPICE)

  • Output size: Up to 1TB or 2 billion rows

  • Total input size: Combined input sources cannot exceed 1TB

  • Secondary tables size: Combined size is limited to 20GB

Note

Primary tables are those with maxiumum size in a workflow; all others are secondary.

Workflow structure limits

  • Maximum steps: Up to 256 transformation steps per workflow

  • Source tables: Maximum 32 import steps per workflow

  • Output columns: Up to 2048 columns at any step in the workflow and final output table with 2000 columns

  • Divergent paths: Maximum 5 paths from a single step (SPICE only, not applicable for DirectQuery)

  • Dataset as a source: Up to 10 levels for both SPICE and DirectQuery

These limits are designed to balance flexibility with performance, enabling complex data transformations while ensuring optimal analysis capabilities.