DatriseAI-first ETL

AppsFlyer Supabase

AI-first ETL from AppsFlyer into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads AppsFlyer into Supabase

Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

AppsFlyer: Mobile attribution and marketing analytics platform.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How AppsFlyer entities map to Supabase

AppsFlyer entitySupabase objectNotes
installsappsflyer_installsid PK · custom fields → jsonb columns
in-app eventsappsflyer_in_app_eventstimestamptz events
campaignsappsflyer_campaignsid PK · linked to appsflyer_installs
attribution touchpointsappsflyer_attribution_touchpointsid PK · linked to appsflyer_installs

FAQ

How does Datrise handle AppsFlyer's custom fields in Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

How does the AppsFlyer to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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