PrestaShop to DuckDB Integration

How Datrise loads PrestaShop into DuckDB

Datrise syncs PrestaShop's orders, products, customers, carts, categories, and order states 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

PrestaShop: Open-source ecommerce storefront and catalog.

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

How PrestaShop entities map to DuckDB

PrestaShop entity	DuckDB object	Notes
orders	`prestashop_orders`	id PK · custom fields → JSON or STRUCT columns
products	`prestashop_products`	id PK · linked to prestashop_orders
customers	`prestashop_customers`	id PK · linked to prestashop_orders
carts	`prestashop_carts`	id PK · linked to prestashop_orders

FAQ

How does Datrise handle PrestaShop'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 PrestaShop 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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