DatriseAI-first ETL

LinkedIn Ads PlanetScale

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

How Datrise loads LinkedIn Ads into PlanetScale

Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance 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

LinkedIn Ads: B2B advertising metrics for pipeline and attribution reporting.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How LinkedIn Ads entities map to PlanetScale

LinkedIn Ads entityPlanetScale objectNotes
B2B campaign metricslinkedin_ads_b2b_campaign_metricsid PK · custom fields → JSON columns
spendlinkedin_ads_spendid PK · linked to linkedin_ads_b2b_campaign_metrics
clickslinkedin_ads_clicksid PK · linked to linkedin_ads_b2b_campaign_metrics
leadslinkedin_ads_leadsid PK · linked to linkedin_ads_b2b_campaign_metrics

FAQ

How does Datrise handle LinkedIn 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 LinkedIn 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

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