DatriseAI-first ETL

SurveyMonkey Spotfire

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

How Datrise loads SurveyMonkey into Spotfire

Datrise syncs SurveyMonkey's surveys, questions, responses, collectors, and quotas 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

SurveyMonkey: Survey creation and response analytics.

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

How SurveyMonkey entities map to Spotfire

SurveyMonkey entitySpotfire objectNotes
surveyssurveymonkey_surveysid PK · custom fields → flattened columns for visualizations
questionssurveymonkey_questionsid PK · linked to surveymonkey_surveys
responsessurveymonkey_responsesid PK · linked to surveymonkey_surveys
collectorssurveymonkey_collectorsid PK · linked to surveymonkey_surveys

FAQ

How does Datrise handle SurveyMonkey'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 SurveyMonkey 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

Connect SurveyMonkey to Spotfire the easy way

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