DatriseAI-first ETL

Salesforce NPSP Azure Synapse

AI-first ETL from Salesforce NPSP into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce NPSP into Azure Synapse

Datrise syncs Salesforce NPSP's contacts, accounts, deals, activities, and lifecycle events into Azure Synapse 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 COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Salesforce NPSP: Nonprofit CRM for donors, campaigns, and stewardship.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Salesforce NPSP entities map to Azure Synapse

Salesforce NPSP entityAzure Synapse objectNotes
contactssalesforce_npsp_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountssalesforce_npsp_accountsid PK · linked to salesforce_npsp_contacts
dealssalesforce_npsp_dealsid PK · linked to salesforce_npsp_contacts
activitiessalesforce_npsp_activitiesdatetime2 events

FAQ

How does Datrise handle Salesforce NPSP's custom fields in Azure Synapse?

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 Azure Synapse types.

How does the Salesforce NPSP to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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