DatriseAI-first ETL

Salesforce Health Cloud Supabase

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

How Datrise loads Salesforce Health Cloud into Supabase

Datrise syncs Salesforce Health Cloud's contacts, accounts, deals, activities, and lifecycle events into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Salesforce Health Cloud: Healthcare CRM for accounts, compliance, and field engagement.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Salesforce Health Cloud entities map to Supabase

Salesforce Health Cloud entitySupabase objectNotes
contactssalesforce_health_cloud_contactsid PK · custom fields → jsonb columns
accountssalesforce_health_cloud_accountsid PK · linked to salesforce_health_cloud_contacts
dealssalesforce_health_cloud_dealsid PK · linked to salesforce_health_cloud_contacts
activitiessalesforce_health_cloud_activitiestimestamptz events

FAQ

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

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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