DatriseAI-first ETL

PrestaShop to Amazon S3 Data Lake Integration

AI-first ETL from PrestaShop into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.

How Datrise loads PrestaShop into Amazon S3 Data Lake

Datrise syncs PrestaShop's orders, products, customers, carts, categories, and order states into Amazon S3 Data Lake as columnar Parquet objects partitioned per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes new date partitions and compacts small files on a schedule, so re-runs update only what changed. Hive-style path partitioning (entity/date) for engine-agnostic reads. A lake has no schema enforcement, so Datrise writes a schema manifest alongside the data to keep downstream engines consistent.

Ideal for an open, engine-neutral storage layer for Spark, Athena, Trino, or DuckDB.

Endpoints

PrestaShop: Open-source ecommerce storefront and catalog.

Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.

How PrestaShop entities map to Amazon S3 Data Lake

PrestaShop entityAmazon S3 Data Lake objectNotes
ordersprestashop_ordersid PK · custom fields → nested struct/map fields in Parquet
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 Amazon S3 Data Lake?

Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon S3 Data Lake types.

How does the PrestaShop to Amazon S3 Data Lake sync stay up to date?

It runs incrementally — Datrise uses writes new date partitions and compacts small files on a schedule.

Related pipelines

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