AppsFlyer → PlanetScale
AI-first ETL from AppsFlyer into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into PlanetScale
Datrise syncs AppsFlyer's installs, in-app events, campaigns, 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
AppsFlyer: Mobile attribution and marketing analytics platform.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How AppsFlyer entities map to PlanetScale
| AppsFlyer entity | PlanetScale object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → JSON columns |
| in-app events | appsflyer_in_app_events | DATETIME events |
| campaigns | appsflyer_campaigns | id PK · linked to appsflyer_installs |
| attribution touchpoints | appsflyer_attribution_touchpoints | id PK · linked to appsflyer_installs |
FAQ
How does Datrise handle AppsFlyer'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 AppsFlyer 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 AppsFlyer
More sources for PlanetScale
Early access
Connect AppsFlyer 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.