DatriseAI-first ETL

CommCare to Looker Studio Integration

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

How Datrise loads CommCare into Looker Studio

Datrise syncs CommCare's cases, forms, form submissions, users, locations, and case properties into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

CommCare: Mobile data collection for field programs.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How CommCare entities map to Looker Studio

CommCare entityLooker Studio objectNotes
casescommcare_casesid PK · custom fields → flattened columns for chart fields
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 Looker Studio?

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

How does the CommCare to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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