DatriseAI-first ETL

Shiphero to Holistics Integration

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

How Datrise loads Shiphero into Holistics

Datrise syncs Shiphero's orders, shipments, products, inventory levels, warehouses, and returns into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Shiphero: Warehouse management and fulfillment operations.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Shiphero entities map to Holistics

Shiphero entityHolistics objectNotes
ordersshiphero_ordersid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

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

How does the Shiphero to Holistics sync stay up to date?

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

Related pipelines

Early access

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