Google Directory to Microsoft SQL Server Integration
AI-first ETL from Google Directory into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Directory into Microsoft SQL Server
Datrise syncs Google Directory's users, groups, group members, organizational units, devices, and roles 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 Directory: Workspace user, group, and device directory.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Google Directory entities map to Microsoft SQL Server
| Google Directory entity | Microsoft SQL Server object | Notes |
|---|---|---|
| users | google_directory_users | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| groups | google_directory_groups | id PK · linked to google_directory_users |
| group members | google_directory_group_members | id PK · linked to google_directory_users |
| organizational units | google_directory_organizational_units | id PK · linked to google_directory_users |
FAQ
How does Datrise handle Google Directory'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 Directory 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 Directory
- Google Directory → Oracle Database
- Google Directory → Snowflake
- Google Directory → Google BigQuery
- Google Directory → Amazon Redshift
- Google Directory → Databricks SQL Warehouse
- Google Directory → ClickHouse
- Google Directory → DuckDB
- Google Directory → Amazon Athena
- Google Directory → Amazon S3 Data Lake
- Google Directory → Azure Data Lake Storage
- Google Directory → Azure Synapse
- Google Directory → Spreadsheets
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Early access
Connect Google Directory to Microsoft SQL Server the easy way
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