Cart to DuckDB Integration
AI-first ETL from Cart into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Cart into DuckDB
Datrise syncs Cart's orders, products, customers, shipments, payments, and discounts 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
Cart: Ecommerce storefront and order management.
DuckDB: In-process analytics database for fast local OLAP.
How Cart entities map to DuckDB
| Cart entity | DuckDB object | Notes |
|---|---|---|
| orders | cart_orders | id PK · custom fields → JSON or STRUCT columns |
| products | cart_products | id PK · linked to cart_orders |
| customers | cart_customers | id PK · linked to cart_orders |
| shipments | cart_shipments | id PK · linked to cart_orders |
FAQ
How does Datrise handle Cart'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 Cart 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
More destinations for Cart
Early access
Connect Cart to DuckDB the easy way
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