AppsFlyer → Microsoft SQL Server
AI-first ETL from AppsFlyer into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads AppsFlyer into Microsoft SQL Server
Datrise syncs AppsFlyer's installs, in-app events, campaigns, and attribution touchpoints into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
AppsFlyer: Mobile attribution and marketing analytics platform.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How AppsFlyer entities map to Microsoft SQL Server
| AppsFlyer entity | Microsoft SQL Server object | Notes |
|---|---|---|
| installs | appsflyer_installs | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| in-app events | appsflyer_in_app_events | datetime2 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 Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the AppsFlyer to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for AppsFlyer
- 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
- AppsFlyer → Spreadsheets
More sources for Microsoft SQL Server
- Microsoft Advertising → Microsoft SQL Server
- Braintree → Microsoft SQL Server
- Chargebee → Microsoft SQL Server
- Customer.io → Microsoft SQL Server
- Delighted → Microsoft SQL Server
- Dixa → Microsoft SQL Server
- Facebook Ads → Microsoft SQL Server
- FullStory → Microsoft SQL Server
- GitHub → Microsoft SQL Server
- GitLab → Microsoft SQL Server
- Google Drive → Microsoft SQL Server
- Google Search Console → Microsoft SQL Server
Early access
Connect AppsFlyer to Microsoft SQL Server 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.