DatriseAI-first ETL

Salesforce Health Cloud to Apache Superset Integration

AI-first ETL from Salesforce Health Cloud into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce Health Cloud into Apache Superset

Datrise syncs Salesforce Health Cloud's patients, care plans, care teams, clinical encounters, cases, and consents into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Salesforce Health Cloud: Patient and member relationship management on Salesforce.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Salesforce Health Cloud entities map to Apache Superset

Salesforce Health Cloud entityApache Superset objectNotes
patientssalesforce_health_cloud_patientsid PK · custom fields → flattened columns for the explore UI
care planssalesforce_health_cloud_care_plansid PK · linked to salesforce_health_cloud_patients
care teamssalesforce_health_cloud_care_teamsid PK · linked to salesforce_health_cloud_patients
clinical encounterssalesforce_health_cloud_clinical_encountersid PK · linked to salesforce_health_cloud_patients

FAQ

How does Datrise handle Salesforce Health Cloud's custom fields in Apache Superset?

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

How does the Salesforce Health Cloud to Apache Superset sync stay up to date?

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

Related pipelines

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