AppsFlyer → Redash
AI-first ETL from AppsFlyer into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into Redash
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, 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 for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
AppsFlyer: Mobile attribution and marketing analytics platform.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How AppsFlyer entities map to Redash
| AppsFlyer entity | Redash object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the AppsFlyer to Redash 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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