Salesforce Health Cloud to Amazon Redshift Integration
AI-first ETL from Salesforce Health Cloud into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Health Cloud into Amazon Redshift
Datrise syncs Salesforce Health Cloud's patients, care plans, care teams, clinical encounters, cases, and consents into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
Salesforce Health Cloud: Patient and member relationship management on Salesforce.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Salesforce Health Cloud entities map to Amazon Redshift
| Salesforce Health Cloud entity | Amazon Redshift object | Notes |
|---|---|---|
| patients | salesforce_health_cloud_patients | id PK · custom fields → SUPER columns |
| care plans | salesforce_health_cloud_care_plans | id PK · linked to salesforce_health_cloud_patients |
| care teams | salesforce_health_cloud_care_teams | id PK · linked to salesforce_health_cloud_patients |
| clinical encounters | salesforce_health_cloud_clinical_encounters | id PK · linked to salesforce_health_cloud_patients |
FAQ
How does Datrise handle Salesforce Health Cloud's custom fields in Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the Salesforce Health Cloud to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
More destinations for Salesforce Health Cloud
- Salesforce Health Cloud → Databricks SQL Warehouse
- Salesforce Health Cloud → ClickHouse
- Salesforce Health Cloud → DuckDB
- Salesforce Health Cloud → Amazon Athena
- Salesforce Health Cloud → Amazon S3 Data Lake
- Salesforce Health Cloud → Azure Data Lake Storage
- Salesforce Health Cloud → Azure Synapse
- Salesforce Health Cloud → Spreadsheets
- Salesforce Health Cloud → Airtable
- Salesforce Health Cloud → CSV Files
- Salesforce Health Cloud → MongoDB
- Salesforce Health Cloud → Supabase
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Early access
Connect Salesforce Health Cloud to Amazon Redshift the easy way
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