DatriseAI-first ETL

PrestaShop to PostgreSQL Integration

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

How Datrise loads PrestaShop into PostgreSQL

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

PrestaShop: Open-source ecommerce storefront and catalog.

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

How PrestaShop entities map to PostgreSQL

PrestaShop entityPostgreSQL objectNotes
ordersprestashop_ordersid PK · custom fields → jsonb columns
productsprestashop_productsid PK · linked to prestashop_orders
customersprestashop_customersid PK · linked to prestashop_orders
cartsprestashop_cartsid PK · linked to prestashop_orders

FAQ

How does Datrise handle PrestaShop'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 PrestaShop 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

Early access

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