How to integrate Shopify to Snowflake? 3 Simple ways explained

Published: May 24, 2024 - 7 min read

Vijay Srinivas

Connecting Shopify to Snowflake can transform how your business manages data.

In this blog, we will explore three methods to make this connection, highlighting the pros and cons of each and providing detailed step-by-step guides.

Advantages of Connecting Shopify to Snowflake

  • Unify sales data: Combine Shopify sales data with other business data in Snowflake for a comprehensive view of your business performance.
  • Enhance analytics capabilities: Leverage Snowflake’s powerful analytics features to gain deeper insights into your e-commerce data.
  • Streamline data management: Automate data transfer from Shopify to Snowflake, reducing manual effort and ensuring data consistency.

Connect Shopify to Snowflake: 3 Methods

Connecting Shopify and Snowflake is crucial for e-commerce businesses looking to gain valuable insights from their data. With a range of solutions catering to different company sizes and technical requirements, integrating these two platforms has never been easier.


Ideal Application


No-code solution for e-commerce teams who want to analyze Shopify data in Snowflake without relying on technical resources.


Automated data pipeline for medium to large e-commerce companies that need to continuously sync large volumes of Shopify data with Snowflake.


Affordable and easy-to-set-up solution for small to medium-sized businesses that need to replic

How to Connect Shopify to Snowflake

Method 1: Coefficient – No-Code, User-Friendly

Coefficient connects your spreadsheet to all your business data without a single line of code. It provides a user-friendly interface and automatic data updates, making it a reliable option for both technical and non-technical users.


  • Simple, no-code setup.
  • Automatic data updates.
  • Affordable pricing plans.


  • Scheduled automations are not free forever, but pricing plans are affordable.

Step-by-step tutorial

Step 1. Install Coefficient

For Google Sheets

Open a new or existing Google Sheet, navigate to the Extensions tab, and select Add-ons > Get add-ons.

Select Get Add-ons option in Google Sheets Menu Bar

In the Google Workspace Marketplace, search for “Coefficient.”

Search and Choose Coefficient from Google Workspace

Follow the prompts to grant necessary permissions.

Allow Coefficient to be Installed in your Google Sheets

Launch Coefficient from Extensions > Coefficient > Launch.

Launch Coefficient Data Connector in Google Sheets

Coefficient will open on the right-hand side of your spreadsheet.

Coefficient Side bar in Google Sheets

For Microsoft Excel

Open Excel from your desktop or in Office Online. Click ‘File’ > ‘Get Add-ins’ > ‘More Add-Ins.’

Find Coefficient Add-in from Microsoft Office Store

Type “Coefficient” in the search bar and click ‘Add.’

Add Coefficient Add-in to Excel from Microsoft Office Store

Follow the prompts in the pop-up to complete the installation.

Once finished, you will see a “Coefficient” tab in the top navigation bar. Click ‘Open Sidebar’ to launch Coefficient.

Coefficient Sidebar in Microsoft Excel

Step 2. Import Data from Shopify into Your Spreadsheet

Select ‘Import from…’

Click on Import from in Coefficient

Scroll down until you see Shopify and click ‘Connect.’

Choose Shopify as your data source in Coefficient sidebar

Follow the prompts to authorize Coefficient to access your Shopify account.

Fill prompted information to authorize  Shopify connection through Coefficient

Enter your “Shopify Store Name” and click ‘Authorize.’


You will be taken to this screen in your Shopify instance. Click the ‘Install app’ button to proceed.

Final Shopify Instance window to approve Coefficient install

After connecting, return to Shopify from the Coefficient menu ‘Import From…’ > ‘Shopify’ > ‘From Objects & Fields.’

Select Objects & Fields to start importing

Select the Shopify object you would like to import your data from (eg. Line Items).

Select data to be connected from Shopify to Google Sheets using Coefficient

Select the desired fields for your import.

Preview for Shopify Data Export to Google Sheets using Coefficient add-on

Customize your import by adding filter(s). Click ‘Import’ when you’re finished.

Screenshot 2023-11-01 at 12.51.45 AM.png

Your Shopify data will automatically populate your Excel spreadsheet in a few seconds!

Shopify Data Exported into Google Sheets

Step 3. Export Data from Your Spreadsheet to Snowflake

Before starting, make sure you’ve connected to Snowflake.

Then, select “Export to…” from the menu.

Choose Export option in Coefficient sidebar

Choose Snowflake from the list of available data sources.

Choose Snowflake as the data source in Coefficient sidebar

Select the tab and header rows in your spreadsheet that contains the data you want to export.

Select tab and headers rows of the data exported to Snowflake from Google Sheets using Coefficient

Click “Next” to continue.

Select the table in your Snowflake database that you want to update. Then, select the type of action you want to perform—Update, Insert, Upsert, or Delete.

Select the table in Snowflake database to be imported into snowflake

Map the fields from your spreadsheet to the corresponding Snowflake fields.

Map the fields between Google Sheets and Snowflake

Note: Primary Keys (ID fields) are required for Update and Delete actions. For Insert actions, the Primary Key field can be set to auto populate if it’s configured in Snowflake.

(Optional) Specify additional settings such as batch size, whether to export empty cells on an update, and the column for results.

Select the necessary formatting options if required

Confirm your settings.

Confirm the settings to push data into Snowflake from Google Sheets in Coefficient Add-on

Then, highlight the rows you want to update or export. You can choose to export all rows or specific rows.

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Highlight the google sheet rows to be updated

After you’re finished, review your settings and click “Export.”

Follow the prompts to confirm your changes.

Click on "Update Rows in Snowflake" to push the data from Google Sheets to Snowflake

In a few seconds, data from your spreadsheet will be pushed to Salesforce.

Data exported to Snowflake successfully using Coefficient add-on

Coefficient will then update the records in Snowflake, displaying the status, record ID, and timestamp of the updates in your spreadsheet.

Method 2: Fivetran

Fivetran Data Connector

Fivetran offers automated data pipelines that connect Shopify to Snowflake with minimal configuration.


  • Automated pipelines with standardized schemas.
  • Access to all your data in SQL.
  • Allows users to add new data sources.


  • No option to use/deploy services on-premise.
  • Documentation could be better.
  • Pricing can be tricky.

Step-by-Step Walkthrough

1. Setting Up Your Fivetran Account

Sign up for Fivetran and set up your account:

  • Visit the Fivetran website and sign up for an account.
  • Follow the email verification process to activate your account.
  • Log in to your new Fivetran account.

Authenticate with your Shopify account:

  • In the Fivetran dashboard, click on “Add Connector.”
  • Select “Shopify” from the list of available connectors.
  • Enter your Shopify store credentials and grant Fivetran the necessary permissions to access your data.

2. Configure Data Pipeline

Follow the setup wizard to create a pipeline:

  • After authentication, you’ll be directed to the setup wizard.
  • Choose the specific Shopify data you want to sync (e.g., orders, customers, products).
  • Select Snowflake as your destination.

Map Shopify data fields to Snowflake tables:

  • Fivetran will auto-map Shopify data fields to Snowflake tables based on their standardized schema.
  • Review the mappings and make adjustments if necessary to fit your specific data structure needs.

3. Monitoring and Managing Your Pipeline

Use the Fivetran dashboard to monitor data flow:

  • Access the Fivetran dashboard to view your data pipeline’s status.
  • Monitor real-time data flow and sync frequency.

Schedule data updates and manage data loads:

  • Set up a sync schedule to determine how often data is updated from Shopify to Snowflake.
  • Use the dashboard to manage and troubleshoot data loads.

Method 3: Stitch

Stitch Data Connector

Stitch is another excellent option for non-technical users looking to connect Shopify to Snowflake.


  • Easy to set up by non-technical teams.
  • Scheduling feature for data loads.
  • Allows users to add new data sources.


  • Limited data transformation options.
  • Handling large datasets can be tricky.
  • No option to use/deploy services on-premise.

Step-by-Step Walkthrough

1. Setting Up Your Stitch Account

Sign up for Stitch and configure your account:

  • Go to the Stitch website and create an account.
  • Complete the account setup process, including email verification.
  • Log in to the Stitch dashboard.

Authenticate with your Shopify account:

  • In the Stitch dashboard, click on “Add Integration.”
  • Select “Shopify” from the list of integrations.
  • Provide your Shopify store credentials and authorize Stitch to access your data.

2. Create a Data Pipeline

Follow the prompts to set up a pipeline:

  • After authentication, the setup wizard will guide you through the process.
  • Choose the Shopify data entities you want to sync, such as orders, products, and customers.
  • Select Snowflake as your data destination.

Map Shopify data to Snowflake tables:

  • Stitch will automatically map the Shopify data fields to Snowflake tables.
  • Review the mappings to ensure they meet your requirements and make adjustments if necessary.

3. Schedule Data Loads

Use the scheduling feature to automate data loads:

  • In the Stitch dashboard, navigate to the pipeline settings.
  • Set up a schedule for data loads to occur at regular intervals (e.g., hourly, daily).

Monitor data flow and ensure data integrity:

  • Use the dashboard to monitor the status of your data loads.
  • Check for any errors or inconsistencies in the data and address them as needed.


Connecting Shopify to Snowflake can significantly enhance your data operations and decision-making processes. Different methods, like Coefficient, Fivetran, and Stitch, offer various advantages and can cater to different needs.

If you want a quick, easy solution, consider Coefficient. Try it for free today to learn more!

Sync Live Data into Your Spreadsheet

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Vijay Srinivas GTM @ Coefficient
Vijay Srinivas is an engineer turned marketer who loves to dabble in data and has 6 years of experience in GTM for Startups and SaaS orgs. Building his skills currently to be a PLG & spreadsheet expert.
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