DatriseAI-first ETL

CommCare to Sisense Integration

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

How Datrise loads CommCare into Sisense

Datrise syncs CommCare's cases, forms, form submissions, users, locations, and case properties into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.

Ideal for embedded analytics on an in-memory engine.

Endpoints

CommCare: Mobile data collection for field programs.

Sisense: Analytics platform with elastic data models and embedded analytics.

How CommCare entities map to Sisense

CommCare entitySisense objectNotes
casescommcare_casesid PK · custom fields → flattened columns for the cube
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 Sisense?

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

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

It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.

Related pipelines

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