SurveyCTO to Spotfire Integration
AI-first ETL from SurveyCTO into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads SurveyCTO into Spotfire
Datrise syncs SurveyCTO's form submissions, forms, fields, answers, enumerators, and submission timestamps 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
SurveyCTO: Offline-capable field survey data collection.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How SurveyCTO entities map to Spotfire
| SurveyCTO entity | Spotfire object | Notes |
|---|---|---|
| form submissions | surveycto_form_submissions | id PK · custom fields → flattened columns for visualizations |
| forms | surveycto_forms | id PK · linked to surveycto_form_submissions |
| fields | surveycto_fields | id PK · linked to surveycto_form_submissions |
| answers | surveycto_answers | id PK · linked to surveycto_form_submissions |
FAQ
How does Datrise handle SurveyCTO'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 SurveyCTO to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
Related pipelines
More destinations for SurveyCTO
Early access
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