DatriseAI-first ETL

StackAdapt to PlanetScale Integration

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

How Datrise loads StackAdapt into PlanetScale

Datrise syncs StackAdapt's campaigns, line items, creatives, spend, impressions, and conversions 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

StackAdapt: Programmatic advertising across native and display.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How StackAdapt entities map to PlanetScale

StackAdapt entityPlanetScale objectNotes
campaignsstackadapt_campaignsid PK · custom fields → JSON columns
line itemsstackadapt_line_itemsid PK · linked to stackadapt_campaigns
creativesstackadapt_creativesid PK · linked to stackadapt_campaigns
spendstackadapt_spendid PK · linked to stackadapt_campaigns

FAQ

How does Datrise handle StackAdapt'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 StackAdapt 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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