DatriseAI-first ETL

Microsoft Advertising PlanetScale

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

How Datrise loads Microsoft Advertising into PlanetScale

Datrise syncs Microsoft Advertising's campaigns, ad groups, keywords, spend, and conversion metrics 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

Microsoft Advertising: Paid search and audience ads on Microsoft properties.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Microsoft Advertising entities map to PlanetScale

Microsoft Advertising entityPlanetScale objectNotes
campaignsbing_ads_campaignsid PK · custom fields → JSON columns
ad groupsbing_ads_ad_groupsid PK · linked to bing_ads_campaigns
keywordsbing_ads_keywordsid PK · linked to bing_ads_campaigns
spendbing_ads_spendid PK · linked to bing_ads_campaigns

FAQ

How does Datrise handle Microsoft Advertising'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 Microsoft Advertising 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

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