DatriseAI-first ETL

PostgreSQL to Supabase Integration

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

How Datrise loads PostgreSQL into Supabase

Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots 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

PostgreSQL: Self-managed PostgreSQL instances.

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

How PostgreSQL entities map to Supabase

PostgreSQL entitySupabase objectNotes
tableshp_postgres_tablesid PK · custom fields → jsonb columns
rowshp_postgres_rowsid PK · linked to hp_postgres_tables
schemashp_postgres_schemasid PK · linked to hp_postgres_tables
indexeshp_postgres_indexesid PK · linked to hp_postgres_tables

FAQ

How does Datrise handle PostgreSQL'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 PostgreSQL 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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