AppsFlyer → Chartio
AI-first ETL from AppsFlyer into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into Chartio
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
AppsFlyer: Mobile attribution and marketing analytics platform.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How AppsFlyer entities map to Chartio
| AppsFlyer entity | Chartio object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → flattened columns for visual SQL |
| in-app events | appsflyer_in_app_events | temporal 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 Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the AppsFlyer to Chartio 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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