Adjust to Amazon Redshift Integration
AI-first ETL from Adjust into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Adjust into Amazon Redshift
Datrise syncs Adjust's installs, sessions, in-app events, campaigns, cohorts, and attribution touchpoints 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
Adjust: Mobile measurement and attribution platform.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Adjust entities map to Amazon Redshift
| Adjust entity | Amazon Redshift object | Notes |
|---|---|---|
| installs | adjust_installs | id PK · custom fields → SUPER columns |
| sessions | adjust_sessions | id PK · linked to adjust_installs |
| in-app events | adjust_in_app_events | TIMESTAMPTZ events |
| campaigns | adjust_campaigns | id PK · linked to adjust_installs |
FAQ
How does Datrise handle Adjust'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 Adjust 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.
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Early access
Connect Adjust to Amazon Redshift the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.