DatriseAI-first ETL

SurveySparrow to Tableau Integration

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

How Datrise loads SurveySparrow into Tableau

Datrise syncs SurveySparrow's surveys, responses, questions, contacts, NPS scores, and share links 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

SurveySparrow: Conversational surveys and feedback workflows.

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

How SurveySparrow entities map to Tableau

SurveySparrow entityTableau objectNotes
surveyssurveysparrow_surveysid PK · custom fields → flattened columns for Tableau fields
responsessurveysparrow_responsesid PK · linked to surveysparrow_surveys
questionssurveysparrow_questionsid PK · linked to surveysparrow_surveys
contactssurveysparrow_contactsid PK · linked to surveysparrow_surveys

FAQ

How does Datrise handle SurveySparrow'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 SurveySparrow 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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