DatriseAI-first ETL

Facebook Ads PlanetScale

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

How Datrise loads Facebook Ads into PlanetScale

Datrise syncs Facebook Ads's campaigns, ad sets, ads, 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

Facebook Ads: Meta paid social campaigns and performance insights.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Facebook Ads entities map to PlanetScale

Facebook Ads entityPlanetScale objectNotes
campaignsfacebook_ads_campaignsid PK · custom fields → JSON columns
ad setsfacebook_ads_ad_setsid PK · linked to facebook_ads_campaigns
adsfacebook_ads_adsid PK · linked to facebook_ads_campaigns
spendfacebook_ads_spendid PK · linked to facebook_ads_campaigns

FAQ

How does Datrise handle Facebook 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 Facebook 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

Connect Facebook Ads to PlanetScale the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.