Google Cloud Storage to Microsoft SQL Server Integration
AI-first ETL from Google Cloud Storage into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Cloud Storage into Microsoft SQL Server
Datrise syncs Google Cloud Storage's buckets, objects, prefixes, object metadata, generations, and storage classes 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 Storage: Object storage for files and data lake exports on GCP.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Google Cloud Storage entities map to Microsoft SQL Server
| Google Cloud Storage entity | Microsoft SQL Server object | Notes |
|---|---|---|
| buckets | google_cloud_storage_f_buckets | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| objects | google_cloud_storage_f_objects | id PK · linked to google_cloud_storage_f_buckets |
| prefixes | google_cloud_storage_f_prefixes | id PK · linked to google_cloud_storage_f_buckets |
| object metadata | google_cloud_storage_f_object_metadata | id PK · linked to google_cloud_storage_f_buckets |
FAQ
How does Datrise handle Google Cloud Storage'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 Storage 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 Storage
- Google Cloud Storage → Oracle Database
- Google Cloud Storage → Snowflake
- Google Cloud Storage → Google BigQuery
- Google Cloud Storage → Amazon Redshift
- Google Cloud Storage → Databricks SQL Warehouse
- Google Cloud Storage → ClickHouse
- Google Cloud Storage → DuckDB
- Google Cloud Storage → Amazon Athena
- Google Cloud Storage → Amazon S3 Data Lake
- Google Cloud Storage → Azure Data Lake Storage
- Google Cloud Storage → Azure Synapse
- Google Cloud Storage → Spreadsheets
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Early access
Connect Google Cloud Storage 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.