DatriseAI-first ETL

Vincle to Supabase Integration

AI-first ETL from Vincle into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Vincle into Supabase

Datrise syncs Vincle's customers, visits, orders, product assortments, promotions, and sales routes into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Vincle: Field sales and trade execution for consumer goods.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Vincle entities map to Supabase

Vincle entitySupabase objectNotes
customersvincle_customersid PK · custom fields → jsonb columns
visitsvincle_visitsid PK · linked to vincle_customers
ordersvincle_ordersid PK · linked to vincle_customers
product assortmentsvincle_product_assortmentsid PK · linked to vincle_customers

FAQ

How does Datrise handle Vincle's custom fields in Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

How does the Vincle to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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