DatriseAI-first ETL

PostgreSQL to Oracle Database Integration

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

How Datrise loads PostgreSQL into Oracle Database

Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

PostgreSQL: Self-managed PostgreSQL instances.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How PostgreSQL entities map to Oracle Database

PostgreSQL entityOracle Database objectNotes
tableshp_postgres_tablesid PK · custom fields → JSON or CLOB 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 Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

How does the PostgreSQL to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

Related pipelines

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