DatriseAI-first ETL

Cart to PostgreSQL Integration

AI-first ETL from Cart into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Cart into PostgreSQL

Datrise syncs Cart's orders, products, customers, shipments, payments, and discounts into PostgreSQL as a typed table per source entity. 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Cart: Ecommerce storefront and order management.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Cart entities map to PostgreSQL

Cart entityPostgreSQL objectNotes
orderscart_ordersid PK · custom fields → jsonb columns
productscart_productsid PK · linked to cart_orders
customerscart_customersid PK · linked to cart_orders
shipmentscart_shipmentsid PK · linked to cart_orders

FAQ

How does Datrise handle Cart's custom fields in PostgreSQL?

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 PostgreSQL types.

How does the Cart to PostgreSQL sync stay up to date?

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

Related pipelines

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