DatriseAI-first ETL

Google Drive Metabase

AI-first ETL from Google Drive into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Drive into Metabase

Datrise syncs Google Drive's files, folders, permissions, and revision metadata into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Google Drive: Cloud file storage often used for operational exports.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Google Drive entities map to Metabase

Google Drive entityMetabase objectNotes
filesgoogle_drive_filesid PK · custom fields → flattened columns for the question builder
foldersgoogle_drive_foldersid PK · linked to google_drive_files
permissionsgoogle_drive_permissionsid PK · linked to google_drive_files
revision metadatagoogle_drive_revision_metadataid PK · linked to google_drive_files

FAQ

How does Datrise handle Google Drive's custom fields in Metabase?

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

How does the Google Drive to Metabase sync stay up to date?

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

Related pipelines

Early access

Connect Google Drive to Metabase the easy way

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