DatriseAI-first ETL

Commcare Klipfolio

AI-first ETL from Commcare into Klipfolio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Commcare into Klipfolio

Datrise syncs Commcare's records, events, and configuration objects into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.

Ideal for real-time KPI dashboards and wallboards.

Endpoints

Commcare: SaaS or API data source for analytics and warehouse sync.

Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.

How Commcare entities map to Klipfolio

Commcare entityKlipfolio objectNotes
recordscommcare_recordsid PK · custom fields → flattened columns for Klips
eventscommcare_eventsdate/time columns events
configuration objectscommcare_configuration_objectsid PK · linked to commcare_records

FAQ

How does Datrise handle Commcare's custom fields in Klipfolio?

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

How does the Commcare to Klipfolio sync stay up to date?

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

Related pipelines

Early access

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