DatriseAI-first ETL

Sage CRM to Azure Synapse Integration

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 persons, companies, opportunities, cases, communications, and leads 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: CRM tied to Sage accounting for mid-market operations.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Sage CRM entities map to Azure Synapse

Sage CRM entityAzure Synapse objectNotes
personssage_crm_personsid PK · custom fields → NVARCHAR(MAX) JSON columns
companiessage_crm_companiesid PK · linked to sage_crm_persons
opportunitiessage_crm_opportunitiesid PK · linked to sage_crm_persons
casessage_crm_casesid PK · linked to sage_crm_persons

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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