DatriseAI-first ETL

Amazon RDS to PostgreSQL Integration

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

How Datrise loads Amazon RDS into PostgreSQL

Datrise syncs Amazon RDS's tables, rows, schemas, indexes, primary keys, and change streams into PostgreSQL as a typed table per source entity. 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Amazon RDS: Managed relational database service on AWS.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Amazon RDS entities map to PostgreSQL

Amazon RDS entityPostgreSQL 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 PostgreSQL?

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 PostgreSQL types.

How does the Amazon RDS to PostgreSQL sync stay up to date?

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

Related pipelines

Early access

Connect Amazon RDS to PostgreSQL the easy way

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