Google Drive → Azure Data Lake Storage
AI-first ETL from Google Drive into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Drive into Azure Data Lake Storage
Datrise syncs Google Drive's files, folders, permissions, and revision metadata into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.
Ideal for Azure lakehouse storage shared across Synapse and Databricks.
Endpoints
Google Drive: Cloud file storage often used for operational exports.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Google Drive entities map to Azure Data Lake Storage
| Google Drive entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| files | google_drive_files | id PK · custom fields → nested struct/map fields in Parquet |
| 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 Azure Data Lake Storage?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Data Lake Storage types.
How does the Google Drive to Azure Data Lake Storage sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.
Related pipelines
More destinations for Google Drive
- Google Drive → Azure Synapse
- Google Drive → Spreadsheets
- Google Drive → Airtable
- Google Drive → CSV Files
- Google Drive → MongoDB
- Google Drive → Supabase
- Google Drive → Neon
- Google Drive → PlanetScale
- Google Drive → Amazon DynamoDB
- Google Drive → Looker
- Google Drive → Looker Studio
- Google Drive → Microsoft Power BI
More sources for Azure Data Lake Storage
- Google Search Console → Azure Data Lake Storage
- Harvest → Azure Data Lake Storage
- Iterable → Azure Data Lake Storage
- Klaviyo → Azure Data Lake Storage
- Adobe Commerce (Magento) → Azure Data Lake Storage
- Mixpanel → Azure Data Lake Storage
- NetSuite → Azure Data Lake Storage
- Pardot → Azure Data Lake Storage
- Pendo → Azure Data Lake Storage
- QuickBooks → Azure Data Lake Storage
- Recharge → Azure Data Lake Storage
- Recurly → Azure Data Lake Storage
Early access
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