DatriseAI-first ETL

Google Sheets Looker Studio

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

How Datrise loads Google Sheets into Looker Studio

Datrise syncs Google Sheets's spreadsheet-based CRM rows, updates, and operational workflow tables into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Google Sheets: Spreadsheet CRM workflows and lightweight pipelines.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Google Sheets entities map to Looker Studio

Google Sheets entityLooker Studio objectNotes
spreadsheet-based CRM rowsgoogle_sheets_spreadsheet_based_crm_rowsid PK · custom fields → flattened columns for chart fields
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 Looker Studio?

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

How does the Google Sheets to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect Google Sheets to Looker Studio the easy way

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