DatriseAI-first ETL

Typeform Microsoft SQL Server

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

How Datrise loads Typeform into Microsoft SQL Server

Datrise syncs Typeform's forms, responses, questions, workspaces, and completion metrics 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

Typeform: Conversational forms and response analytics.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Typeform entities map to Microsoft SQL Server

Typeform entityMicrosoft SQL Server objectNotes
formstypeform_formsid PK · custom fields → NVARCHAR(MAX) JSON columns
responsestypeform_responsesid PK · linked to typeform_forms
questionstypeform_questionsid PK · linked to typeform_forms
workspacestypeform_workspacesid PK · linked to typeform_forms

FAQ

How does Datrise handle Typeform'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 Typeform 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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