DatriseAI-first ETL

1С:CRM Azure Synapse

AI-first ETL from 1С:CRM into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads 1С:CRM into Azure Synapse

Datrise syncs 1С: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

1С:CRM: CRM with strong adoption in CIS markets for sales and operations.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How 1С:CRM entities map to Azure Synapse

1С:CRM entityAzure Synapse objectNotes
contacts1c_crm_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accounts1c_crm_accountsid PK · linked to 1c_crm_contacts
deals1c_crm_dealsid PK · linked to 1c_crm_contacts
activities1c_crm_activitiesdatetime2 events

FAQ

How does Datrise handle 1С: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 1С: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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