AppsFlyer → Snowflake
AI-first ETL from AppsFlyer into Snowflake. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into Snowflake
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.
Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.
Ideal for central analytics warehouses feeding BI and AI workloads.
Endpoints
AppsFlyer: Mobile attribution and marketing analytics platform.
Snowflake: Cloud data warehouse with separated compute and storage.
How AppsFlyer entities map to Snowflake
| AppsFlyer entity | Snowflake object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → VARIANT columns |
| in-app events | appsflyer_in_app_events | TIMESTAMP_TZ 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 Snowflake?
Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.
How does the AppsFlyer to Snowflake sync stay up to date?
It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.
Related pipelines
More destinations for AppsFlyer
- AppsFlyer → Google BigQuery
- AppsFlyer → Amazon Redshift
- AppsFlyer → Databricks SQL Warehouse
- AppsFlyer → ClickHouse
- AppsFlyer → DuckDB
- AppsFlyer → Amazon Athena
- AppsFlyer → Amazon S3 Data Lake
- AppsFlyer → Azure Data Lake Storage
- AppsFlyer → Azure Synapse
- AppsFlyer → Spreadsheets
- AppsFlyer → Airtable
- AppsFlyer → CSV Files
Early access
Connect AppsFlyer to Snowflake the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.