Google Ads → Chartio
AI-first ETL from Google Ads into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Ads into Chartio
Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Google Ads: Paid media source for campaign and conversion metrics.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Google Ads entities map to Chartio
| Google Ads entity | Chartio object | Notes |
|---|---|---|
| campaigns | google_ads_campaigns | id PK · custom fields → flattened columns for visual SQL |
| 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 Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Google Ads to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Google Ads
Early access
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