Google Drive → Redash
AI-first ETL from Google Drive into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Drive into Redash
Datrise syncs Google Drive's files, folders, permissions, and revision metadata into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Google Drive: Cloud file storage often used for operational exports.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Google Drive entities map to Redash
| Google Drive entity | Redash object | Notes |
|---|---|---|
| files | google_drive_files | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Google Drive to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Google Drive
Early access
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