Salesforce Health Cloud to Microsoft SQL Server Integration
AI-first ETL from Salesforce Health Cloud into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce Health Cloud into Microsoft SQL Server
Datrise syncs Salesforce Health Cloud's patients, care plans, care teams, clinical encounters, cases, and consents into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
Salesforce Health Cloud: Patient and member relationship management on Salesforce.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How Salesforce Health Cloud entities map to Microsoft SQL Server
| Salesforce Health Cloud entity | Microsoft SQL Server object | Notes |
|---|---|---|
| patients | salesforce_health_cloud_patients | id PK · custom fields → NVARCHAR(MAX) JSON 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 Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the Salesforce Health Cloud to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for Salesforce Health Cloud
- Salesforce Health Cloud → Oracle Database
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- Salesforce Health Cloud → Amazon S3 Data Lake
- Salesforce Health Cloud → Azure Data Lake Storage
- Salesforce Health Cloud → Azure Synapse
- Salesforce Health Cloud → Spreadsheets
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Early access
Connect Salesforce Health Cloud to Microsoft SQL Server the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.