Google Cloud SQL Postgresql → Microsoft SQL Server

AI-first ETL from Google Cloud SQL Postgresql into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Cloud SQL Postgresql into Microsoft SQL Server

Datrise syncs Google Cloud SQL Postgresql's records, events, and configuration objects 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 Cloud SQL Postgresql: SaaS or API data source for analytics and warehouse sync.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Google Cloud SQL Postgresql entities map to Microsoft SQL Server

Google Cloud SQL Postgresql entity	Microsoft SQL Server object	Notes
records	`google_cloud_sql_postgresql_records`	id PK · custom fields → NVARCHAR(MAX) JSON columns
events	`google_cloud_sql_postgresql_events`	datetime2 events
configuration objects	`google_cloud_sql_postgresql_configuration_objects`	id PK · linked to google_cloud_sql_postgresql_records

FAQ

How does Datrise handle Google Cloud SQL Postgresql'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 Cloud SQL Postgresql 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 Cloud SQL Postgresql

More sources for Microsoft SQL Server

Early access

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