Shopify connector
This feature is in Beta. To use it, a workspace admin must turn on Lakeflow Connect for Shopify from the Previews page. See Manage Databricks previews.
The managed Shopify connector in Lakeflow Connect ingests e-commerce data such as products, orders, customers, inventory, fulfillments, and discounts from Shopify into Databricks. It also captures deletions of products, product variants, collections, articles, pages, blogs, and draft orders.
Feature availability
Feature | Availability |
|---|---|
UI-based pipeline authoring |
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API-based pipeline authoring |
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Declarative Automation Bundles |
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Incremental ingestion |
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Unity Catalog governance |
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Orchestration using Databricks Workflows |
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API-based column selection and deselection |
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API-based row filtering |
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SCD Type 2 |
Tables with semi-structured (VARIANT) columns don't support SCD type 2. |
Automated schema evolution: New and deleted columns |
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Automated schema evolution: Data type changes |
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Automated schema evolution: Column renames |
Requires a full refresh. |
Authentication methods
Authentication method | Availability |
|---|---|
OAuth U2M |
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OAuth M2M |
OAuth client credentials from a Shopify app. |
Basic authentication (username/password) |
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Ingest from Shopify in 3 steps
Before starting, review the Databricks user persona, supported interfaces, ingestion frequency, and common patterns.
Start ingesting from Shopify
- Configure Shopify for ingestion (Admins): Set up Shopify to authenticate with Databricks.
- Create a Unity Catalog connection (Admins): Create a connection in Catalog Explorer so non-admins can create pipelines.
- Create an ingestion pipeline (Admins or non-admins): Select any supported interface and create a pipeline from an existing connection.