Shopify → Holistics
AI-first ETL from Shopify into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Shopify into Holistics
Datrise syncs Shopify's orders, products, customers, inventory levels, and fulfillment events 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
Shopify: E-commerce platform for orders, catalog, and customer data.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Shopify entities map to Holistics
| Shopify entity | Holistics object | Notes |
|---|---|---|
| orders | shopify_orders | id PK · custom fields → flattened columns for the modeling layer |
| products | shopify_products | id PK · linked to shopify_orders |
| customers | shopify_customers | id PK · linked to shopify_orders |
| inventory levels | shopify_inventory_levels | id PK · linked to shopify_orders |
FAQ
How does Datrise handle Shopify'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 Shopify to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
More destinations for Shopify
Early access
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