AppsFlyer → MySQL
AI-first ETL from AppsFlyer into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into MySQL
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
AppsFlyer: Mobile attribution and marketing analytics platform.
MySQL: Widely used OSS relational engine (InnoDB).
How AppsFlyer entities map to MySQL
| AppsFlyer entity | MySQL object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → JSON columns |
| in-app events | appsflyer_in_app_events | DATETIME/TIMESTAMP 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 MySQL?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.
How does the AppsFlyer to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for AppsFlyer
- 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
- AppsFlyer → Azure Synapse
Early access
Connect AppsFlyer to MySQL 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.