AppsFlyer → Domo
AI-first ETL from AppsFlyer into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into Domo
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
AppsFlyer: Mobile attribution and marketing analytics platform.
Domo: Cloud BI platform combining data integration and executive dashboards.
How AppsFlyer entities map to Domo
| AppsFlyer entity | Domo object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → flattened columns for Magic ETL |
| in-app events | appsflyer_in_app_events | date/time columns 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 Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the AppsFlyer to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
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