Google Analytics 360 → Microsoft SQL Server
AI-first ETL from Google Analytics 360 into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics 360 into Microsoft SQL Server
Datrise syncs Google Analytics 360'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 Analytics 360: SaaS or API data source for analytics and warehouse sync.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Google Analytics 360 entities map to Microsoft SQL Server
| Google Analytics 360 entity | Microsoft SQL Server object | Notes |
|---|---|---|
| records | google_analytics_360_records | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| events | google_analytics_360_events | datetime2 events |
| configuration objects | google_analytics_360_configuration_objects | id PK · linked to google_analytics_360_records |
FAQ
How does Datrise handle Google Analytics 360'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 Analytics 360 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 Analytics 360
- Google Analytics 360 → Oracle Database
- Google Analytics 360 → Snowflake
- Google Analytics 360 → Google BigQuery
- Google Analytics 360 → Amazon Redshift
- Google Analytics 360 → Databricks SQL Warehouse
- Google Analytics 360 → ClickHouse
- Google Analytics 360 → DuckDB
- Google Analytics 360 → Amazon Athena
- Google Analytics 360 → Amazon S3 Data Lake
- Google Analytics 360 → Azure Data Lake Storage
- Google Analytics 360 → Azure Synapse
- Google Analytics 360 → Spreadsheets
More sources for Microsoft SQL Server
- Google Cloud SQL → Microsoft SQL Server
- Google Cloud SQL Postgresql → Microsoft SQL Server
- Google Cloud Storage F → Microsoft SQL Server
- Google Directory → Microsoft SQL Server
- Google Ecommerce → Microsoft SQL Server
- Google Pagespeed Insights → Microsoft SQL Server
- Google Webfonts → Microsoft SQL Server
- Greenhouse → Microsoft SQL Server
- Gridly → Microsoft SQL Server
- Gutendex → Microsoft SQL Server
- Harness → Microsoft SQL Server
- Harvest Forecast → Microsoft SQL Server
Early access
Connect Google Analytics 360 to Microsoft SQL Server the easy way
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