DatriseAI-first ETL

CommCare to Amazon QuickSight Integration

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

How Datrise loads CommCare into Amazon QuickSight

Datrise syncs CommCare's cases, forms, form submissions, users, locations, and case properties 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

CommCare: Mobile data collection for field programs.

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

How CommCare entities map to Amazon QuickSight

CommCare entityAmazon QuickSight objectNotes
casescommcare_casesid PK · custom fields → flattened columns for analyses
formscommcare_formsid PK · linked to commcare_cases
form submissionscommcare_form_submissionsid PK · linked to commcare_cases
userscommcare_usersid PK · linked to commcare_cases

FAQ

How does Datrise handle CommCare'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 CommCare 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

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