DatriseAI-first ETL

Webflow to Microsoft SQL Server Integration

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

How Datrise loads Webflow into Microsoft SQL Server

Datrise syncs Webflow's collections, collection items, sites, fields, form submissions, and publish events 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

Webflow: Visual website builder with a structured CMS.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Webflow entities map to Microsoft SQL Server

Webflow entityMicrosoft SQL Server objectNotes
collectionswebflow_collectionsid PK · custom fields → NVARCHAR(MAX) JSON columns
collection itemswebflow_collection_itemsid PK · linked to webflow_collections
siteswebflow_sitesid PK · linked to webflow_collections
fieldswebflow_fieldsid PK · linked to webflow_collections

FAQ

How does Datrise handle Webflow'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 Webflow 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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