Are you thinking of moving data from Google Sheets to an SQL server? That would be a wise decision if you want to leverage the advanced data structures and algorithms of SQL servers. When you have larger data sets, the performance is far better in an SQL server. Also, when you might want to scale it up further in the future, an SQL server can help better as it has the capability to store and process complex data. 

There are several methods to perform Google sheet to SQL data replication. The best method for your data team depends on several factors such as your technical and business use case, budget, bandwidth of your team etc.  Don’t worry. We have got you covered all in the blog. By the end of reading this blog, you will have a clear understanding of the following,

  • The significance of performing this replication and all the existing methods for this.
  • The steps involved in each of these methods to connect Google sheet to SQL database with diagrams and code scripts required for the same. 
  • How to choose which method is best for your use case? 

Let’s get started!

Introduction to Google Sheets

Google Sheets to SQL Server: Google Sheets Logo
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Google Sheets is a product of the Google platform that provides the capability of Spreadsheets over the cloud. Google Sheets is similar to the Spreadsheet app but on steroids. Due to its cloud behavior, it offers much more functionality than a standard spreadsheet.

Key Features of Google Sheets

  • Google Sheets allow you to access it anywhere over the internet, and hence it provides you with high availability of data.
  • Google Sheet has a separate app that is available on all operating systems that allow you to view, update and visualize your data.
  • Google Sheets comes bundled with a Gmail account, and you can access it via the Apps section.
  • It uses Google Drive as storage and allows you to access it over apps.
  • Google Spreadsheets has a feature similar to Microsoft Excel. So, if you have used MS Excel, then using Google Sheets will be very simple for you.
  • Google Sheets allows you to download the plug-in, add-ons, and custom code to analyze data in spreadsheets effectively.
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Introduction to SQL Server

Google Sheets to SQL Server: SQL Server Logo
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SQL Server is a relational database owned by Microsoft to store structured data. It is commonly known as MSSQL and is built on top of Structured Query Language (SQL) to query and perform analytics on the database object. SQL Server has extensive support for ANSI SQL and PLSQL to create stored procedures, derived variables, etc. 

SQL Server was initially available for Windows, but now it supports the Linux operating system as well.

Key Features of SQL Server

  1. Scalable: SQL server is an on-premise database, and you can add more nodes to accommodate the increasing volume of the data.
  2. Performance: SQL Server provides exceptional performance in terms of transformation and analysis of the data. It has excellent support for Windows and Linux.
  3. Secure: Being an on-premise installation, you can have your private network to secure the data. It also supports various authentication methods like Kerberos for safe access to data. 
  4. Analytics Support: MS SQL has excellent support for data analytical functions and machine learning models. You can use Python or R to connect to SQL Server and carry out modeling. 
  5. Multi-Threading: With MS SQL, you can achieve parallelism and multi-threading to process the data.

Reasons to Migrate Data from Google Sheets to SQL Server

Google Sheets allows you to edit, arrange, and analyze various types of data. It enables collaborations, enables concurrent editing, and formatting by multiple users, and tracks all spreadsheet revisions.

SQL Server offers improved performance thanks to its integrated transparent data compression and encryption features. SQL Server provides access controls and effective permission management tools to assist users in protecting sensitive business data.

When integrated together, moving data from Google Sheets to SQL Server could solve some of the biggest data problems for businesses. In this article, we have described two methods to achieve this:

Explore These Methods to Connect Google Sheets and SQL Server

Method 1: Using Hevo to connect Google Sheets to SQL Server

Hevo, an Automated Data Pipeline, provides you with a seamless solution to connect Google Sheets to SQL Server within minutes with an easy-to-use no-code interface. Hevo provides a simple interface to perfect, modify, and enrich the data you want to transfer into an analysis-ready form.


Method 2: Using the Apps Script to connect Google Sheets to SQL Server

This is a simple 4-step process that starts with whitelisting the IP and creating a Google Sheet. It involves creating a database, user, and table before loading the data into SQL Server. This process has a few limitations that are covered later in this article.

This method would be time-consuming and somewhat tedious to implement. Users will have to write custom codes to enable two processes, streaming data from Google Sheets and ingesting data into SQL Server. This method is suitable for users with a technical background.

Both methods are explained below.

Understanding the Methods to Connect Google Sheets to SQL Server

These are the methods you can use to establish a Google Sheets SQL Server connection in a seamless fashion:

Method 1: Using Hevo to connect Google Sheets to SQL Server

Google Sheets to SQL Server: Hevo Logo
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Hevo, a No-code Data Pipeline, provides an easy-to-use, completely managed cloud-based service that can execute the load operation from 150+ data sources such as Google Sheets to SQL Server in a few clicks. Hevo also helps you transform your data and automatically map schemas in databases. The data migration from Google Sheets to SQL server can be carried out in 2 simple steps:

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  • Step 1: Configure Google Sheets as a source, by entering the Pipeline Name and the spreadsheet you wish to replicate.
Google Sheets to SQL Server: Source Configuration
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  • Step 2: Configure SQL Server as a destination and start moving data instantly by entering the Destination Name, Database Host, Database Port, Database User, Database Password, Database Name, and Database Schema.
Google Sheets to SQL Server: Destination Configuration
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Here are a few benefits of using Hevo:

  • Wide Range of Connectors: Instantly connect and read data from 150+ sources including SaaS apps and databases, and precisely control pipeline schedules down to the minute.
  • In-built Transformations: Format your data on the fly with Hevo’s preload transformations using either the drag-and-drop interface or our nifty Python interface. Generate analysis-ready data in your warehouse using Hevo’s Postload Transformation.
  • Near Real-Time Replication: Get access to near real-time replication for all database sources with log-based replication. For SaaS applications, near real-time replication is subject to API limits.
  • Auto-Schema Management: Correcting improper schema after the data is loaded into your warehouse is challenging. Hevo automatically maps source schema with the destination warehouse so that you don’t face the pain of schema errors.
  • Security: Discover peace with end-to-end encryption and compliance with all major security certifications including HIPAA, GDPR, and SOC-2.
  • 24×7 Customer Support: With Hevo, you get more than just a platform; you get a partner for your pipelines. Discover peace with round-the-clock “Live Chat” within the platform. Moreover, you get 24×7 support even during the 14-day free trial.
  • Transparent Pricing: Say goodbye to complex and hidden pricing models. Hevo’s Transparent Pricing brings complete visibility to your ELT expenditure. Choose a plan based on your business needs. Stay in control with spend alerts and configurable credit limits for unforeseen spikes in the data flow.
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Method 2: Using the Apps Script to connect Google Sheets to SQL Server

To load data from Google Sheets to SQL Server, you need to follow these steps:

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  • Have access to Google Cloud and Google Sheets.
  • Basic understanding of Spreadsheet functionalities.
  • A working instance of SQL Server, with necessary privileges.
  • Basic knowledge of programming and concepts.

Loading the data from Google Sheets to SQL Server is not a tedious task; however, it requires a script that will connect to SQL Server to access the objects. Google App Script provides a JDBC service to connect to SQL Server. Below is the step-by-step approach to load data from Google Sheets to SQL Server.

Step 1: Whitelisting the IP 

Google JDBC service requires you to whitelist specific IPs to create a database connection using the JDBC service. In your MS SQL database settings, add the below IPs to the whitelist. - - - - - - - - - -

Step 2: Create a Google Sheet

  • Login to your Google Account and from the Apps section go to Google Drive.
  • Once you log in to Drive, from the option New, select Google Sheets.
  • A new Sheet will open in the New Tab.
  • Provide a name to the SpreadSheet and add some data.
Google Sheets to SQL Server:  Google sheet data
Image Source: Self
  • Launch the Script Editor from, Tools>Script Editor. This editor will be used to write the scripts that will connect to SQL Server. 
  • This is what the default page will look like:
Google Sheets to SQL Server: Execute Script
Image Source: Self

Step 3: Create a Database, Table, and User

Once you have created the spreadsheet and populated it with some data, now you have to create the database, tables, and users in the SQL Server to access the data from Google Sheets.

It is possible to create databases, users, and tables by using the SQL Server command line or from the workbench, and in this case, you will do the same with the Apps Script. Go to the Script editor and write the below lines of code:

Step 1. Create Connection Variables

Update the variable assignment with the actual values.

var connectionName = 'Instance_connection_name';
var rootPwd = 'root_password';
var user = 'user_name';
var userPwd = 'user_password';
var db = 'database_name';

var root = 'root';
var instanceUrl = 'jdbc:google:mysql://' + connectionName;
var dbUrl = instanceUrl + '/' + db;
Step 2: Create a New Database

Use the following command to create a new database.

function createDb() {
  var con = Jdbc.getConnection(instanceUrl, root, rootPwd);
  con.createStatement().execute('CREATE DATABASE ' + db);
Step 3. Create a New User with the Necessary Privileges

Create a new user in the database with the necessary privilege.

function createUser() {
  var conn = Jdbc.getConnection(dbUrl, root, rootPwd);

  var stmt = conn.prepareStatement('CREATE USER ? IDENTIFIED BY ?');
  stmt.setString(1, user);
  stmt.setString(2, userPwd);

  conn.createStatement().execute('GRANT ALL ON `%`.* TO ' + user);
Step 4: Create a New Table

Use the following command to create a new table:

function createTable() {
  var conn = Jdbc.getCloudSqlConnection(dbUrl, user, userPwd);
  conn.createStatement().execute('CREATE TABLE employee'
      + '(emp_id INT NOT NULL, emp_name VARCHAR(255), emp_dept VARCHAR(255); ');

Step 4: Writing to Database

Now that you have created the database, tables, and user, you will now create the function to write the data from Google Sheets to SQL Server. Use the following code to write in SQL Server using batch mode. 

Step 1: Create a Connection Variable

Update the variable assignment with actual values.

var connectionName = 'Instance_connection_name';
var user = 'user_name';
var userPwd = 'user_password';
var db = 'database_name';
var dbUrl = 'jdbc:google:mysql://' + connectionName + '/' + db;
Step 2: Write Data to SQL Server

Write data to a table in a single batch.

function writeManyRecords() {
  var conn = Jdbc.getConnection(dbUrl, user, userPwd);

  var start = new Date();
 var sheet = SpreadsheetApp.getActiveSheet();
 var data = sheet.getDataRange().getValues();

 var stmt = conn.prepareStatement('INSERT INTO employee ' +  '(emp_id, emp_name, emp_dept) values (?, ?, ?)');

 for (var i = 0; i < data.length; i++) {
  stmt.setString('Emo Id: ' + data[i][0]);
  stmt.setString('Emp Name: ' + data[i][1]);
  stmt.setString('Emp Dept: ' + data[i][2]);


  var batch = stmt.executeBatch();

  var end = new Date();
  Logger.log('Time elapsed: %s ms for %s rows.', end - start, batch.length);

Click on the Run Script to run the Script. Check the SQL Server for the data.

Limitations of using the Apps Script to connect Google Sheets to SQL Server

Limitations of using Apps Script for connecting Google Sheets to SQL Server are listed below:

  • There is a lot of coding required to move the data from Google Sheets to SQL Server. Suppose you’re looking for a more straightforward solution. In that case, we recommend you try Hevo Data. It can be set up within minutes and without writing any code.
  • Google Sheets with Apps Script has some time limits on script execution. This process is not reliable when you need to move vast volumes of data.
  • Extra coding is required if you want to perform the transformation on the data before moving it to SQL Server.


In this blog, you have learned how to import data from Google Sheets to SQL Server. However, if you’re looking for an easy solution, try –  Hevo, a No-code Data Pipeline. It helps you transfer data from a source of your choice in a fully automated and secure manner without writing the code repeatedly.

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Hevo supports pre-built integrations with 150+ sources and allows you to export, load, transform and enrich your data to make it analysis-ready in a jiffy.

Give Hevo a try by Signing up for a 14-day free trial! You can now transfer data from sources like Google Sheets to your target destination for Free using Hevo!

Share your experience of connecting Google Sheets to SQL Server in the comment section below.

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