AppsFlyer → PostgreSQL
AI-first ETL from AppsFlyer into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into PostgreSQL
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
AppsFlyer: Mobile attribution and marketing analytics platform.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How AppsFlyer entities map to PostgreSQL
| AppsFlyer entity | PostgreSQL object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → jsonb columns |
| in-app events | appsflyer_in_app_events | timestamptz 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 PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the AppsFlyer to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for AppsFlyer
- AppsFlyer → MySQL
- AppsFlyer → Microsoft SQL Server
- AppsFlyer → Oracle Database
- AppsFlyer → Snowflake
- 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
More sources for PostgreSQL
Early access
Connect AppsFlyer to PostgreSQL the easy way
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