Google Drive → Qlik
AI-first ETL from Google Drive into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Drive into Qlik
Datrise syncs Google Drive's files, folders, permissions, and revision metadata into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.
Ideal for associative, in-memory exploration in Qlik Sense.
Endpoints
Google Drive: Cloud file storage often used for operational exports.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Google Drive entities map to Qlik
| Google Drive entity | Qlik object | Notes |
|---|---|---|
| files | google_drive_files | id PK · custom fields → flattened columns for the data model |
| 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 Qlik?
Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.
How does the Google Drive to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
Related pipelines
More destinations for Google Drive
Early access
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