Google Drive → Microsoft SQL Server
AI-first ETL from Google Drive into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Drive into Microsoft SQL Server
Datrise syncs Google Drive's files, folders, permissions, and revision metadata into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
Google Drive: Cloud file storage often used for operational exports.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Google Drive entities map to Microsoft SQL Server
| Google Drive entity | Microsoft SQL Server object | Notes |
|---|---|---|
| files | google_drive_files | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| 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 Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the Google Drive to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for Google Drive
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- Google Drive → Google BigQuery
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- Google Drive → Databricks SQL Warehouse
- Google Drive → ClickHouse
- Google Drive → DuckDB
- Google Drive → Amazon Athena
- Google Drive → Amazon S3 Data Lake
- Google Drive → Azure Data Lake Storage
- Google Drive → Azure Synapse
- Google Drive → Spreadsheets
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Early access
Connect Google Drive to Microsoft SQL Server 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.