DatriseAI-first ETL

Excel File to Amazon QuickSight Integration

AI-first ETL from Excel File into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.

How Datrise loads Excel File into Amazon QuickSight

Datrise syncs Excel File's worksheets, rows, columns, headers, cell ranges, and workbooks into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Excel File: Spreadsheet workbooks from exports and shared drives.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Excel File entities map to Amazon QuickSight

Excel File entityAmazon QuickSight objectNotes
worksheetsexcel_file_worksheetsid PK · custom fields → flattened columns for analyses
rowsexcel_file_rowsid PK · linked to excel_file_worksheets
columnsexcel_file_columnsid PK · linked to excel_file_worksheets
headersexcel_file_headersid PK · linked to excel_file_worksheets

FAQ

How does Datrise handle Excel File's custom fields in Amazon QuickSight?

Flexible values are stored as flattened columns for analyses, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon QuickSight types.

How does the Excel File to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

Connect Excel File to Amazon QuickSight the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.