DatriseAI-first ETL

WooCommerce to DuckDB Integration

AI-first ETL from WooCommerce into DuckDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads WooCommerce into DuckDB

Datrise syncs WooCommerce's orders, products, customers, coupons, refunds, and order line items into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

WooCommerce: WordPress ecommerce storefront and order data.

DuckDB: In-process analytics database for fast local OLAP.

How WooCommerce entities map to DuckDB

WooCommerce entityDuckDB objectNotes
orderswoocommerce_ordersid PK · custom fields → JSON or STRUCT columns
productswoocommerce_productsid PK · linked to woocommerce_orders
customerswoocommerce_customersid PK · linked to woocommerce_orders
couponswoocommerce_couponsid PK · linked to woocommerce_orders

FAQ

How does Datrise handle WooCommerce's custom fields in DuckDB?

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

How does the WooCommerce to DuckDB sync stay up to date?

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

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