Shopify connector

Set up the Shopify connector in Kaivo: authentication, configuration, the BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 4 hours ago

Kaivo is a fully managed data platform that syncs your Shopify data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your e-commerce data instead of moving it.

What is the Shopify connector

Sync your Shopify store data into BigQuery with Kaivo to analyse orders, products, and customers without exporting reports by hand.

Category	E-commerce
Status	Generally available
Authentication	Username and password
Setup	Self-service

Getting started with the Shopify connector

Sign up for Kaivo and create a workspace.
Connect your Shopify account.
Choose which tables to sync.
Wait for the initial sync to finish.
Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Shopify

Connect with your Shopify login. You provide:

Field	Description
API Password	The Admin API access token of a custom app in your Shopify store (Settings → Apps and sales channels → Develop apps → your app → API credentials).

Configuring the Shopify connector

When you set up the connector, you provide:

Field	Description
Shopify Store	The name of your Shopify store found in the URL. For example, if your URL was https://my-store.myshopify.com, then the name would be 'my-store' or 'my-store.myshopify.com'.
Start Date	Any data before this date will not be fetched.
Include Closed Fulfillment Orders	If enabled, the `Fulfillment Orders` table includes closed fulfillment orders. Shopify excludes closed orders by default.

Tables and columns synced from Shopify

The streams and columns for this connector aren't listed automatically yet.

How the Shopify sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Shopify supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Shopify?

It depends on how much history is in your Shopify account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Shopify's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Shopify, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Shopify instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Shopify connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Shopify data

Sales reporting

Bring your Shopify orders into BigQuery to track revenue and average order value over time.

Product performance

Analyse orders and products to see best sellers and margin by category.

Customer analysis

Use your customer data to measure repeat purchase rates and lifetime value.

Use Shopify data in your AI and BI tools

Once Shopify data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Shopify data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Shopify connector pricing and plan details.

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WooCommerce: Sync WooCommerce to BigQuery.
Adobe Commerce (Magento): Sync Adobe Commerce (Magento) to BigQuery.
Akeneo: Sync Akeneo to BigQuery.