DatriseAI-first ETL

SurveySparrow to Spotfire Integration

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

How Datrise loads SurveySparrow into Spotfire

Datrise syncs SurveySparrow's surveys, responses, questions, contacts, NPS scores, and share links into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

SurveySparrow: Conversational surveys and feedback workflows.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How SurveySparrow entities map to Spotfire

SurveySparrow entitySpotfire objectNotes
surveyssurveysparrow_surveysid PK · custom fields → flattened columns for visualizations
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 Spotfire?

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

How does the SurveySparrow to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

Early access

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