DatriseAI-first ETL

Adjust to PlanetScale Integration

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

How Datrise loads Adjust into PlanetScale

Datrise syncs Adjust's installs, sessions, in-app events, campaigns, cohorts, and attribution touchpoints 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

Adjust: Mobile measurement and attribution platform.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Adjust entities map to PlanetScale

Adjust entityPlanetScale objectNotes
installsadjust_installsid PK · custom fields → JSON columns
sessionsadjust_sessionsid PK · linked to adjust_installs
in-app eventsadjust_in_app_eventsDATETIME events
campaignsadjust_campaignsid PK · linked to adjust_installs

FAQ

How does Datrise handle Adjust'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 Adjust 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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