Google Drive → ThoughtSpot
AI-first ETL from Google Drive into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Drive into ThoughtSpot
Datrise syncs Google Drive's files, folders, permissions, and revision metadata into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Google Drive: Cloud file storage often used for operational exports.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Google Drive entities map to ThoughtSpot
| Google Drive entity | ThoughtSpot object | Notes |
|---|---|---|
| files | google_drive_files | id PK · custom fields → flattened columns for searchable 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 ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Google Drive to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
More destinations for Google Drive
More sources for ThoughtSpot
Early access
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