1С:CRM → Microsoft SQL Server
AI-first ETL from 1С:CRM into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads 1С:CRM into Microsoft SQL Server
Datrise syncs 1С:CRM's contacts, accounts, deals, activities, and lifecycle events into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
1С:CRM: CRM with strong adoption in CIS markets for sales and operations.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How 1С:CRM entities map to Microsoft SQL Server
| 1С:CRM entity | Microsoft SQL Server object | Notes |
|---|---|---|
| contacts | 1c_crm_contacts | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| accounts | 1c_crm_accounts | id PK · linked to 1c_crm_contacts |
| deals | 1c_crm_deals | id PK · linked to 1c_crm_contacts |
| activities | 1c_crm_activities | datetime2 events |
FAQ
How does Datrise handle 1С:CRM's custom fields in Microsoft SQL Server?
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 Microsoft SQL Server types.
How does the 1С:CRM to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
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Early access
Connect 1С:CRM to Microsoft SQL Server the easy way
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