DatriseAI-first ETL

Sage CRM Azure Synapse

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

How Datrise loads Sage CRM into Azure Synapse

Datrise syncs Sage CRM'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

Sage CRM: Enterprise CRM for complex sales, service, and revenue operations.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Sage CRM entities map to Azure Synapse

Sage CRM entityAzure Synapse objectNotes
contactssage_crm_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountssage_crm_accountsid PK · linked to sage_crm_contacts
dealssage_crm_dealsid PK · linked to sage_crm_contacts
activitiessage_crm_activitiesdatetime2 events

FAQ

How does Datrise handle Sage CRM'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 Sage CRM 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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