DatriseAI-first ETL

AppsFlyer MicroStrategy

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

How Datrise loads AppsFlyer into MicroStrategy

Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

AppsFlyer: Mobile attribution and marketing analytics platform.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How AppsFlyer entities map to MicroStrategy

AppsFlyer entityMicroStrategy objectNotes
installsappsflyer_installsid PK · custom fields → flattened columns
in-app eventsappsflyer_in_app_eventsdate/time dimensions 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 MicroStrategy?

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

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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