Vincle to Microsoft SQL Server Integration

How Datrise loads Vincle into Microsoft SQL Server

Datrise syncs Vincle's customers, visits, orders, product assortments, promotions, and sales routes 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

Vincle: Field sales and trade execution for consumer goods.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Vincle entities map to Microsoft SQL Server

Vincle entity	Microsoft SQL Server object	Notes
customers	`vincle_customers`	id PK · custom fields → NVARCHAR(MAX) JSON columns
visits	`vincle_visits`	id PK · linked to vincle_customers
orders	`vincle_orders`	id PK · linked to vincle_customers
product assortments	`vincle_product_assortments`	id PK · linked to vincle_customers

FAQ

How does Datrise handle Vincle'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 Vincle to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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