DatriseAI-first ETL

AppsFlyer Metabase

AI-first ETL from AppsFlyer into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads AppsFlyer into Metabase

Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

AppsFlyer: Mobile attribution and marketing analytics platform.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How AppsFlyer entities map to Metabase

AppsFlyer entityMetabase objectNotes
installsappsflyer_installsid PK · custom fields → flattened columns for the question builder
in-app eventsappsflyer_in_app_eventstemporal columns for trends events
campaignsappsflyer_campaignsid PK · linked to appsflyer_installs
attribution touchpointsappsflyer_attribution_touchpointsid PK · linked to appsflyer_installs

FAQ

How does Datrise handle AppsFlyer's custom fields in Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the AppsFlyer to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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