DatriseAI-first ETL

Nectar CRM to Azure Synapse Integration

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

How Datrise loads Nectar CRM into Azure Synapse

Datrise syncs Nectar CRM's contacts, companies, opportunities, sales stages, activities, and quotes 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

Nectar CRM: B2B sales CRM with playbooks for Brazilian teams.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Nectar CRM entities map to Azure Synapse

Nectar CRM entityAzure Synapse objectNotes
contactsnectar_crm_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
companiesnectar_crm_companiesid PK · linked to nectar_crm_contacts
opportunitiesnectar_crm_opportunitiesid PK · linked to nectar_crm_contacts
sales stagesnectar_crm_sales_stagesid PK · linked to nectar_crm_contacts

FAQ

How does Datrise handle Nectar 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 Nectar 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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