StackAdapt to Microsoft SQL Server Integration
AI-first ETL from StackAdapt into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads StackAdapt into Microsoft SQL Server
Datrise syncs StackAdapt's campaigns, line items, creatives, spend, impressions, and conversions 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
StackAdapt: Programmatic advertising across native and display.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How StackAdapt entities map to Microsoft SQL Server
| StackAdapt entity | Microsoft SQL Server object | Notes |
|---|---|---|
| campaigns | stackadapt_campaigns | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| line items | stackadapt_line_items | id PK · linked to stackadapt_campaigns |
| creatives | stackadapt_creatives | id PK · linked to stackadapt_campaigns |
| spend | stackadapt_spend | id PK · linked to stackadapt_campaigns |
FAQ
How does Datrise handle StackAdapt'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 StackAdapt 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
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Early access
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