DatriseAI-first ETL

BigCommerce to Neon Integration

AI-first ETL from BigCommerce into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads BigCommerce into Neon

Datrise syncs BigCommerce's orders, products, customers, carts, transactions, and categories into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

BigCommerce: Ecommerce platform for catalog, orders, and checkout.

Neon: Serverless Postgres destination with branching and autoscaling.

How BigCommerce entities map to Neon

BigCommerce entityNeon objectNotes
ordersbigcommerce_ordersid PK · custom fields → jsonb columns
productsbigcommerce_productsid PK · linked to bigcommerce_orders
customersbigcommerce_customersid PK · linked to bigcommerce_orders
cartsbigcommerce_cartsid PK · linked to bigcommerce_orders

FAQ

How does Datrise handle BigCommerce's custom fields in Neon?

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 Neon types.

How does the BigCommerce to Neon 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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