Google Drive → Looker Studio
AI-first ETL from Google Drive into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Drive into Looker Studio
Datrise syncs Google Drive's files, folders, permissions, and revision metadata 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 Drive: Cloud file storage often used for operational exports.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Google Drive entities map to Looker Studio
| Google Drive entity | Looker Studio object | Notes |
|---|---|---|
| files | google_drive_files | id PK · custom fields → flattened columns for chart fields |
| folders | google_drive_folders | id PK · linked to google_drive_files |
| permissions | google_drive_permissions | id PK · linked to google_drive_files |
| revision metadata | google_drive_revision_metadata | id PK · linked to google_drive_files |
FAQ
How does Datrise handle Google Drive'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 Drive to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
Connect Google Drive to Looker Studio 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.