Vincle to GoodData Integration
AI-first ETL from Vincle into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vincle into GoodData
Datrise syncs Vincle's customers, visits, orders, product assortments, promotions, and sales routes into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Vincle: Field sales and trade execution for consumer goods.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Vincle entities map to GoodData
| Vincle entity | GoodData object | Notes |
|---|---|---|
| customers | vincle_customers | id PK · custom fields → flattened 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 GoodData?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native GoodData types.
How does the Vincle to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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