Google Ads → Microsoft SQL Server

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

How Datrise loads Google Ads into Microsoft SQL Server

Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals 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 Ads: Paid media source for campaign and conversion metrics.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Google Ads entities map to Microsoft SQL Server

Google Ads entity	Microsoft SQL Server object	Notes
campaigns	`google_ads_campaigns`	id PK · custom fields → NVARCHAR(MAX) JSON columns
ad groups	`google_ads_ad_groups`	id PK · linked to google_ads_campaigns
spend	`google_ads_spend`	id PK · linked to google_ads_campaigns
clicks	`google_ads_clicks`	id PK · linked to google_ads_campaigns

FAQ

How does Datrise handle Google Ads'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 Ads 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

Early access

Connect Google Ads to Microsoft SQL Server the easy way

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