Vincle to Domo Integration
AI-first ETL from Vincle into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vincle into Domo
Datrise syncs Vincle's customers, visits, orders, product assortments, promotions, and sales routes into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
Vincle: Field sales and trade execution for consumer goods.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Vincle entities map to Domo
| Vincle entity | Domo object | Notes |
|---|---|---|
| customers | vincle_customers | id PK · custom fields → flattened columns for Magic ETL |
| 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 Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the Vincle to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
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