PostgreSQL to Amazon Redshift Integration
AI-first ETL from PostgreSQL into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads PostgreSQL into Amazon Redshift
Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots 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
PostgreSQL: Self-managed PostgreSQL instances.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How PostgreSQL entities map to Amazon Redshift
| PostgreSQL entity | Amazon Redshift object | Notes |
|---|---|---|
| tables | hp_postgres_tables | id PK · custom fields → SUPER columns |
| rows | hp_postgres_rows | id PK · linked to hp_postgres_tables |
| schemas | hp_postgres_schemas | id PK · linked to hp_postgres_tables |
| indexes | hp_postgres_indexes | id PK · linked to hp_postgres_tables |
FAQ
How does Datrise handle PostgreSQL'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 PostgreSQL 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 PostgreSQL
- PostgreSQL → Databricks SQL Warehouse
- PostgreSQL → ClickHouse
- PostgreSQL → DuckDB
- PostgreSQL → Amazon Athena
- PostgreSQL → Amazon S3 Data Lake
- PostgreSQL → Azure Data Lake Storage
- PostgreSQL → Azure Synapse
- PostgreSQL → Spreadsheets
- PostgreSQL → Airtable
- PostgreSQL → CSV Files
- PostgreSQL → MongoDB
- PostgreSQL → Supabase
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Early access
Connect PostgreSQL to Amazon Redshift the easy way
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