DatriseAI-first ETL

AppsFlyer ThoughtSpot

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

How Datrise loads AppsFlyer into ThoughtSpot

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

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

AppsFlyer: Mobile attribution and marketing analytics platform.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How AppsFlyer entities map to ThoughtSpot

AppsFlyer entityThoughtSpot objectNotes
installsappsflyer_installsid PK · custom fields → flattened columns for searchable fields
in-app eventsappsflyer_in_app_eventsdate/time columns 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 ThoughtSpot?

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

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

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

Related pipelines

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