DatriseAI-first ETL

Google Drive Holistics

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

How Datrise loads Google Drive into Holistics

Datrise syncs Google Drive's files, folders, permissions, and revision metadata into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

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

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Google Drive entities map to Holistics

Google Drive entityHolistics objectNotes
filesgoogle_drive_filesid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

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

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

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

Related pipelines

Early access

Connect Google Drive to Holistics 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.