DatriseAI-first ETL

Google Ads PlanetScale

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

How Datrise loads Google Ads into PlanetScale

Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Google Ads: Paid media source for campaign and conversion metrics.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Google Ads entities map to PlanetScale

Google Ads entityPlanetScale objectNotes
campaignsgoogle_ads_campaignsid PK · custom fields → JSON columns
ad groupsgoogle_ads_ad_groupsid PK · linked to google_ads_campaigns
spendgoogle_ads_spendid PK · linked to google_ads_campaigns
clicksgoogle_ads_clicksid PK · linked to google_ads_campaigns

FAQ

How does Datrise handle Google Ads's custom fields in PlanetScale?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.

How does the Google Ads to PlanetScale sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

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