DatriseAI-first ETL

CommCare to Redash Integration

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

How Datrise loads CommCare into Redash

Datrise syncs CommCare's cases, forms, form submissions, users, locations, and case properties into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

CommCare: Mobile data collection for field programs.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How CommCare entities map to Redash

CommCare entityRedash objectNotes
casescommcare_casesid PK · custom fields → flattened columns for query results
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 Redash?

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

How does the CommCare to Redash sync stay up to date?

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

Related pipelines

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