Meta Ads → PlanetScale
AI-first ETL from Meta Ads into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into PlanetScale
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments 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
Meta Ads: Facebook and Instagram ad source for spend and engagement.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Meta Ads entities map to PlanetScale
| Meta Ads entity | PlanetScale object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → JSON columns |
| impressions | meta_ads_impressions | id PK · linked to meta_ads_campaign_spend |
| clicks | meta_ads_clicks | id PK · linked to meta_ads_campaign_spend |
| conversions | meta_ads_conversions | id PK · linked to meta_ads_campaign_spend |
FAQ
How does Datrise handle Meta 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 Meta 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
More destinations for Meta Ads
Early access
Connect Meta 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.