Drip to Microsoft SQL Server Integration
AI-first ETL from Drip into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Drip into Microsoft SQL Server
Datrise syncs Drip's subscribers, campaigns, workflows, orders, email events, and tags 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
Drip: Ecommerce marketing automation and workflows.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Drip entities map to Microsoft SQL Server
| Drip entity | Microsoft SQL Server object | Notes |
|---|---|---|
| subscribers | drip_subscribers | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| campaigns | drip_campaigns | id PK · linked to drip_subscribers |
| workflows | drip_workflows | id PK · linked to drip_subscribers |
| orders | drip_orders | id PK · linked to drip_subscribers |
FAQ
How does Datrise handle Drip'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 Drip to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
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Early access
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