Snowflake is a cloud-based data warehouse platform used by businesses to store and manage large volumes of data. It excels in handling complex queries and data-intensive operations, making it one of the most popular data warehouse across various industries for robust data management.

Connecting Snowflake to Google Sheets brings this powerful data warehouse capability to a user-friendly spreadsheet environment. This integration, simplified by tools like Superjoin, allows users to easily access, analyze, and report Snowflake data within Google Sheets without requiring advanced technical skills. It bridges the gap between complex data storage and accessible data manipulation.

This blog will compare different methods to connect Snowflake and Google Sheets, highlighting why Superjoin is often the best choice for many users.

Top 3 Methods to Connect Snowflake to Google Sheets

Method 1: Using Superjoin

Superjoin provides the fastest and easiest way to connect Snowflake to Google Sheets without any technical know-how or complex setup processes. Here’s how it works:

Step 1: Click Extensions from the Google Sheets menu. Select Add-ons and choose to Get Add-ons. This will bring you to the Google Workspace Marketplace.

Step 2: Look for Superjoin in the Google Marketplace pop-up window and install the app by following the prompts.

Step 3: Navigate back to the Extensions menu tab and launch Superjoin from there. You should see Superjoin running as a Google Sheets side panel on the right side of your screen. 

Step 4: From Sources, select Snowflake from the list.

Step 5: After selecting Snowflake, authorize Superjoin to access your connection details.

Step 6: After authorization, you'll see a list of your Snowflake properties in the Data Preview Window.

Choose your property and view, then click "Import" to bring the data into Google Sheets.

Step 7: Superjoin lets you refresh your imported data instantly with one click or set it to auto-refresh on a pre-set schedule. This way, you won't need to manually update your Snowflake data in Google Sheets to reflect changes from the source.

Voila, you've successfully imported your Snowflake data to Google Sheets using Superjoin!

It is particularly suitable for users looking for a Snowflake to Google Sheets free tool, as Superjoin offers a free tier.

Method 2: Export Data Manually via CSV

Export Snowflake data to CSV and manually import it to Google Sheets, here’s how you can use it to connect Snowflake to Google Sheets:

1. Export Data: Use Snowflake's Snowsql command line tool to run a query and export the data to a CSV file.

   
   

• Command

snowsql -q "SELECT * FROM <database>.<schema>.<table>" -o output_file.csv

2. Upload CSV: Open Google Sheets, click on "File," select "Import," and upload the CSV file.

   
   

Method 3: Using Google App Script

Use a custom Google Apps Script to connect to Snowflake and automate data import into Google Sheets for easy access and manipulation.

1. Create Script: In Google Sheets, go to "Extensions," select "Apps Script," and create a new script.

   
   

2. Set Up Connection: Use the following script to connect to Snowflake via Java Database Connectivity:

   
   

function getSnowflakeData() {
  var conn = Jdbc.getConnection('jdbc:snowflake://<account>.snowflakecomputing.com', '<username>', '<password>');
  var stmt = conn.createStatement();
  var results = stmt.executeQuery('SELECT * FROM <database>.<schema>.<table> LIMIT 10');
  var sheet = SpreadsheetApp.getActiveSpreadsheet().getActiveSheet();
  
  var headers = [];
  for (var i = 1; i <= results.getMetaData().getColumnCount(); i++) {
    headers.push(results.getMetaData().getColumnName(i));
  }
  sheet.appendRow(headers);
  
  while (results.next()) {
    var row = [];
    for (var i = 1; i <= results.getMetaData().getColumnCount(); i++) {
      row.push(results.getString(i));
    }
    sheet.appendRow(row);
  }
  
  results.close();
  stmt.close();
  conn.close();
}

3. Run the Script: Save the script and run getSnowflakeData to pull data from Snowflake into Google Sheets.

Why Choose Superjoin?

In comparison to other methods, Superjoin stands out for several reasons:

• User-Friendly Interface: Designed for non-technical teams, making it accessible for marketing, sales, and business analysts.

• Time Efficiency: Quick data import without the need for manually uploading data.

• Automated Updates: Ensures data is always up-to-date with automatic refresh capabilities.

• Integrated Experience: Operates within Google Sheets, providing a seamless workflow.

For users looking for a simple, efficient, and integrated solution to connect Snowflake with Google Sheets, Superjoin is a superior choice. It minimizes the need for technical expertise and automates the data import process, allowing you to focus on deriving insights rather than managing data imports.