IBM IBM Db2 to Amazon Redshift Integration
AI-first ETL from IBM IBM Db2 into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads IBM IBM Db2 into Amazon Redshift
Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data 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
IBM IBM Db2: IBM relational database for transactional workloads.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How IBM IBM Db2 entities map to Amazon Redshift
| IBM IBM Db2 entity | Amazon Redshift object | Notes |
|---|---|---|
| tables | db2_tables | id PK · custom fields → SUPER columns |
| rows | db2_rows | id PK · linked to db2_tables |
| schemas | db2_schemas | id PK · linked to db2_tables |
| indexes | db2_indexes | id PK · linked to db2_tables |
FAQ
How does Datrise handle IBM IBM Db2'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 IBM IBM Db2 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 IBM IBM Db2
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- IBM IBM Db2 → Supabase
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Early access
Connect IBM IBM Db2 to Amazon Redshift the easy way
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