AppsFlyer → Birst
AI-first ETL from AppsFlyer into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into Birst
Datrise syncs AppsFlyer's installs, in-app events, campaigns, 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
AppsFlyer: Mobile attribution and marketing analytics platform.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How AppsFlyer entities map to Birst
| AppsFlyer entity | Birst object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → flattened columns |
| in-app events | appsflyer_in_app_events | date/time dimensions events |
| campaigns | appsflyer_campaigns | id PK · linked to appsflyer_installs |
| attribution touchpoints | appsflyer_attribution_touchpoints | id PK · linked to appsflyer_installs |
FAQ
How does Datrise handle AppsFlyer'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 AppsFlyer to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
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