AppsFlyer → GoodData
AI-first ETL from AppsFlyer into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into GoodData
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
AppsFlyer: Mobile attribution and marketing analytics platform.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How AppsFlyer entities map to GoodData
| AppsFlyer entity | GoodData object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → flattened columns |
| in-app events | appsflyer_in_app_events | date 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 GoodData?
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 GoodData types.
How does the AppsFlyer to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for AppsFlyer
Early access
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