DatriseAI-first ETL

Sailthru to Supabase Integration

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

How Datrise loads Sailthru into Supabase

Datrise syncs Sailthru's users, campaigns, blasts, message events, lists, and content items 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

Sailthru: Personalized email and onsite content targeting.

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

How Sailthru entities map to Supabase

Sailthru entitySupabase objectNotes
userssailthru_usersid PK · custom fields → jsonb columns
campaignssailthru_campaignsid PK · linked to sailthru_users
blastssailthru_blastsid PK · linked to sailthru_users
message eventssailthru_message_eventstimestamptz events

FAQ

How does Datrise handle Sailthru'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 Sailthru 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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