DatriseAI-first ETL

Typeform Tableau

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

How Datrise loads Typeform into Tableau

Datrise syncs Typeform's forms, responses, questions, workspaces, and completion metrics into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

Typeform: Conversational forms and response analytics.

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Typeform entities map to Tableau

Typeform entityTableau objectNotes
formstypeform_formsid PK · custom fields → flattened columns for Tableau fields
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 Tableau?

Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.

How does the Typeform to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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