DatriseAI-first ETL

CommCare to CSV Files Integration

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

How Datrise loads CommCare into CSV Files

Datrise syncs CommCare's cases, forms, form submissions, users, locations, and case properties into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

CommCare: Mobile data collection for field programs.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How CommCare entities map to CSV Files

CommCare entityCSV Files objectNotes
casescommcare_casesid PK · custom fields → JSON-encoded strings for nested 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 CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the CommCare to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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