DatriseAI-first ETL

Adjust to Supabase Integration

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

How Datrise loads Adjust into Supabase

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

Adjust: Mobile measurement and attribution platform.

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

How Adjust entities map to Supabase

Adjust entitySupabase objectNotes
installsadjust_installsid PK · custom fields → jsonb columns
sessionsadjust_sessionsid PK · linked to adjust_installs
in-app eventsadjust_in_app_eventstimestamptz events
campaignsadjust_campaignsid PK · linked to adjust_installs

FAQ

How does Datrise handle Adjust'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 Adjust 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

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