DatriseAI-first ETL

Omnisend to Microsoft SQL Server Integration

AI-first ETL from Omnisend into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads Omnisend into Microsoft SQL Server

Datrise syncs Omnisend's contacts, campaigns, automations, orders, message events, and segments 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

Omnisend: Ecommerce email and SMS marketing automation.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Omnisend entities map to Microsoft SQL Server

Omnisend entityMicrosoft SQL Server objectNotes
contactsomnisend_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
campaignsomnisend_campaignsid PK · linked to omnisend_contacts
automationsomnisend_automationsid PK · linked to omnisend_contacts
ordersomnisend_ordersid PK · linked to omnisend_contacts

FAQ

How does Datrise handle Omnisend'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 Omnisend 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

Early access

Connect Omnisend 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.