Adjust to Birst Integration
AI-first ETL from Adjust into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Adjust into Birst
Datrise syncs Adjust's installs, sessions, in-app events, campaigns, cohorts, and attribution touchpoints into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Adjust: Mobile measurement and attribution platform.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Adjust entities map to Birst
| Adjust entity | Birst object | Notes |
|---|---|---|
| installs | adjust_installs | id PK · custom fields → flattened columns |
| sessions | adjust_sessions | id PK · linked to adjust_installs |
| in-app events | adjust_in_app_events | date/time dimensions events |
| campaigns | adjust_campaigns | id PK · linked to adjust_installs |
FAQ
How does Datrise handle Adjust's custom fields in Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Adjust to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Adjust
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