DatriseAI-first ETL

AppsFlyer Qlik

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

How Datrise loads AppsFlyer into Qlik

Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

AppsFlyer: Mobile attribution and marketing analytics platform.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How AppsFlyer entities map to Qlik

AppsFlyer entityQlik objectNotes
installsappsflyer_installsid PK · custom fields → flattened columns for the data model
in-app eventsappsflyer_in_app_eventsdate/time fields 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 Qlik?

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

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

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

Early access

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