DatriseAI-first ETL

ForceManager to Azure Synapse Integration

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

How Datrise loads ForceManager into Azure Synapse

Datrise syncs ForceManager's accounts, contacts, opportunities, visits, activities, and sales routes 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

ForceManager: Mobile-first CRM for field sales reps and visit tracking.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How ForceManager entities map to Azure Synapse

ForceManager entityAzure Synapse objectNotes
accountsforcemanager_accountsid PK · custom fields → NVARCHAR(MAX) JSON columns
contactsforcemanager_contactsid PK · linked to forcemanager_accounts
opportunitiesforcemanager_opportunitiesid PK · linked to forcemanager_accounts
visitsforcemanager_visitsid PK · linked to forcemanager_accounts

FAQ

How does Datrise handle ForceManager'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 ForceManager 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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