DatriseAI-first ETL

CommCare to ThoughtSpot Integration

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

How Datrise loads CommCare into ThoughtSpot

Datrise syncs CommCare's cases, forms, form submissions, users, locations, and case properties into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

CommCare: Mobile data collection for field programs.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How CommCare entities map to ThoughtSpot

CommCare entityThoughtSpot objectNotes
casescommcare_casesid PK · custom fields → flattened columns for searchable 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 ThoughtSpot?

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

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

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

Related pipelines

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