AppsFlyer → Sisense
AI-first ETL from AppsFlyer into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into Sisense
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
AppsFlyer: Mobile attribution and marketing analytics platform.
Sisense: Analytics platform with elastic data models and embedded analytics.
How AppsFlyer entities map to Sisense
| AppsFlyer entity | Sisense object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → flattened columns for the cube |
| in-app events | appsflyer_in_app_events | date/time fields 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 Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the AppsFlyer to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
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