DatriseAI-first ETL

Salesforce Health Cloud to Domo Integration

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

How Datrise loads Salesforce Health Cloud into Domo

Datrise syncs Salesforce Health Cloud's patients, care plans, care teams, clinical encounters, cases, and consents into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

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

Domo: Cloud BI platform combining data integration and executive dashboards.

How Salesforce Health Cloud entities map to Domo

Salesforce Health Cloud entityDomo objectNotes
patientssalesforce_health_cloud_patientsid PK · custom fields → flattened columns for Magic ETL
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 Domo?

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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