Oracle Database to Amazon Redshift Integration
AI-first ETL from Oracle Database into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Oracle Database into Amazon Redshift
Datrise syncs Oracle Database's tables, rows, schemas, indexes, sequences, and redo log changes into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
Oracle Database: Oracle Database for enterprise transactional workloads.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Oracle Database entities map to Amazon Redshift
| Oracle Database entity | Amazon Redshift object | Notes |
|---|---|---|
| tables | oracle_db_tables | id PK · custom fields → SUPER columns |
| rows | oracle_db_rows | id PK · linked to oracle_db_tables |
| schemas | oracle_db_schemas | id PK · linked to oracle_db_tables |
| indexes | oracle_db_indexes | id PK · linked to oracle_db_tables |
FAQ
How does Datrise handle Oracle Database's custom fields in Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the Oracle Database to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
More destinations for Oracle Database
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Early access
Connect Oracle Database to Amazon Redshift the easy way
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