DatriseAI-first ETL

Shiphero to Apache Superset Integration

AI-first ETL from Shiphero into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Shiphero into Apache Superset

Datrise syncs Shiphero's orders, shipments, products, inventory levels, warehouses, and returns into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Shiphero: Warehouse management and fulfillment operations.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Shiphero entities map to Apache Superset

Shiphero entityApache Superset objectNotes
ordersshiphero_ordersid PK · custom fields → flattened columns for the explore UI
shipmentsshiphero_shipmentsid PK · linked to shiphero_orders
productsshiphero_productsid PK · linked to shiphero_orders
inventory levelsshiphero_inventory_levelsid PK · linked to shiphero_orders

FAQ

How does Datrise handle Shiphero's custom fields in Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the Shiphero to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect Shiphero to Apache Superset the easy way

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