DatriseAI-first ETL

Amazon RDS to Supabase Integration

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

How Datrise loads Amazon RDS into Supabase

Datrise syncs Amazon RDS's tables, rows, schemas, indexes, primary keys, and change streams 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

Amazon RDS: Managed relational database service on AWS.

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

How Amazon RDS entities map to Supabase

Amazon RDS entitySupabase objectNotes
tablesamazon_rds_tablesid PK · custom fields → jsonb columns
rowsamazon_rds_rowsid PK · linked to amazon_rds_tables
schemasamazon_rds_schemasid PK · linked to amazon_rds_tables
indexesamazon_rds_indexesid PK · linked to amazon_rds_tables

FAQ

How does Datrise handle Amazon RDS'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 Amazon RDS 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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