DatriseAI-first ETL

SurveyCTO to Amazon QuickSight Integration

AI-first ETL from SurveyCTO into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.

How Datrise loads SurveyCTO into Amazon QuickSight

Datrise syncs SurveyCTO's form submissions, forms, fields, answers, enumerators, and submission timestamps into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

SurveyCTO: Offline-capable field survey data collection.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How SurveyCTO entities map to Amazon QuickSight

SurveyCTO entityAmazon QuickSight objectNotes
form submissionssurveycto_form_submissionsid PK · custom fields → flattened columns for analyses
formssurveycto_formsid PK · linked to surveycto_form_submissions
fieldssurveycto_fieldsid PK · linked to surveycto_form_submissions
answerssurveycto_answersid PK · linked to surveycto_form_submissions

FAQ

How does Datrise handle SurveyCTO's custom fields in Amazon QuickSight?

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

How does the SurveyCTO to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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