DatriseAI-first ETL

Google Sheets Amazon QuickSight

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

How Datrise loads Google Sheets into Amazon QuickSight

Datrise syncs Google Sheets's spreadsheet-based CRM rows, updates, and operational workflow tables 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

Google Sheets: Spreadsheet CRM workflows and lightweight pipelines.

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

How Google Sheets entities map to Amazon QuickSight

Google Sheets entityAmazon QuickSight objectNotes
spreadsheet-based CRM rowsgoogle_sheets_spreadsheet_based_crm_rowsid PK · custom fields → flattened columns for analyses
updatesgoogle_sheets_updatesid PK · linked to google_sheets_spreadsheet_based_crm_rows
operational workflow tablesgoogle_sheets_operational_workflow_tablesid PK · linked to google_sheets_spreadsheet_based_crm_rows

FAQ

How does Datrise handle Google Sheets'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 Google Sheets 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

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