Does your organization store large amounts of data in Google Sheets? Would you prefer your data to be stored in a more secure data storage environment? If this applies to you, then you might want to consider moving your data from Google Sheets to a secure relational database environment like Postgres. This blog will present methods to move data from Google Sheets to PostgreSQL, enabling you to choose the one which best suits your needs.

What is Google Sheets?

Sheets to PostgreSQL - Google Sheets Logo | Hevo Data
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Google Sheets is a free spreadsheet program that is offered by Google as a part of  Google Drive. Google Sheets runs on the cloud, which means that no software installations are necessary to set it up. It also provides support for a variety of file types including ODS, TXT, XSLX, XLS, XLSM, CSV, etc. This makes it a very versatile tool for analysts.

Google Sheets has also been used as an initial database by many start-up organizations. It is able to function this way because of its excellent record update system. It also has a sheet layout, which requires you to have access to both the file and the respective sheet to read/write data. However, it is still unable to fully replicate the functions of a database. 

Key highlights of Google Sheets:

  • Does not require software installations
  • Can perform rudimentary database tasks for small early-stage organizations
  • Allows for easy collaboration among users
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What is PostgreSQL?

Sheets to PostgreSQL - PostgreSQL Logo | Hevo Data
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Postgres is a well-known open-source relational database. It uses a variant of SQL to store and scale different workloads, from small applications to medium and large-scale Data Warehouses. Postgres is ACID compliant, runs on all major operating systems, and offers many powerful add-ons including PostGIS, a popular geospatial database extender. Postgres’ architecture also encourages extensibility which enables you to write code from other languages without recompiling the database, define your own data types, and create custom functions. 

Key highlights of PostgreSQL:

  • Open Source: Postgres is fully open-source and also has a community where users can contribute to help resolve bugs etc
  • Extensibility: Postgres is more customizable than many other relational database options on the market. This makes it more robust as it can incorporate newer functionality more readily
  • ACID Compliant:  Postgres is ACID-compliant and so ensures that your transactions are handled in a timely manner
Google Sheets to PostgreSQL: Approaches to Move Data

There are two popular methods to load data from Google Sheets to PostgreSQL:

Method 1: Using Hevo to Connect Google Sheets to PostgreSQL

A fully managed, No-code Data Pipeline platform like Hevo helps you load data from Google Sheets (among 150+ Sources) to PostgreSQL in real-time, in an effortless manner. Hevo, with its minimal learning curve can be set up in a matter of minutes, making the users ready to load data without compromising performance. Its strong integration with various sources such as databases, files, analytics engines, etc gives users the flexibility to bring in data of all different kinds in a way that’s as smooth as possible, without having to write a single line of code.

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Transfer Data from sources like Google Sheets to PostgreSQL destination for Free!

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Method 2: Accessing Google APIs using ETL scripts to connect Google Sheets to PostgreSQL

Making use of Google RESTful APIs is one such way. Data stored in Google Sheets can be easily accessed by writing code lines to interact with Google APIs and easily extract data. It requires users to extract data from Google Sheets, convert it into a CSV file and then load the data into PostgreSQL.

How to connect Google Sheets to PostgreSQL?

Multiple methods can be used to connect Google Sheets to PostgreSQL and load data easily:

Method 1: Using Hevo to Connect Google Sheets to PostgreSQL

Hevo, a No-code Data Pipeline can help you move data from Google Sheets (among 150+ sources) swiftly to PostgreSQL. Hevo is fully managed and it completely automates the process of monitoring and replicating the changes on the secondary database rather than making the user write the code repeatedly. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss. Hevo allows you to not only export & load data but also transform & enrich your data & make it analysis-ready in a jiff.

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Now you can transfer data from Google Sheets to your target Destination for Free using Hevo!

Hevo focuses on two simple steps to move your data from Google Sheets to PostgreSQL:

Configure Source: Connect Hevo with Google Sheets by providing a unique name for your Pipeline, along with details about your authorized Google Sheets account. You can also choose the historical sync duration for your Google Sheets data.

Google Sheets to PostgreSQL: Source Configuration | Hevo Data
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Integrate Data: Complete Google Sheets PostgreSQL migration by providing your destination name, account name, region of your account, database username and password, database and schema name, and the Data Warehouse name.

Google Sheets to PostgreSQL: Destination Configuration | Hevo Data
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  • Secure: Discover peace with end-to-end encryption and compliance with all major security certifications including HIPAA, GDPR, and SOC-2.
  • 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 you don’t face the pain of schema errors.
  • Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.
  • Hevo Is Built To Scale: As the number of sources and your data volume grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
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Method 2: Accessing Google APIs using ETL scripts to connect Google Sheets to PostgreSQL

Data stored in Google Sheets can be easily accessed by writing code lines to interact with Google APIs and easily extract data. It requires users to extract data from Google Sheets, convert it into a CSV file and then load the data into PostgreSQL.

This can be implemented using the following steps:

Step 1: Extracting data from Google Sheets using RESTful APIs

Google Sheets provides a REST API, from which you can access your data. More specifically, this is done by making calls to the REST API. It is important to note that Google Sheets is primarily a spreadsheet program, with data being primarily organized into sheets. When extracting the data, it is useful to consider each sheet as representing a table.

To extract data from Google Sheets, you can use the GET command as follows by specifying the desired column range from where you want the data to be exported:

GET https://sheets.googleapis.com/v4/spreadsheets/spreadsheetId/values/Sheet!A1:D5

This will extract data from the specified column range of A1-D5 and generate the following output:

{"range": "Sheet1!A1:D5",   "majorDimension": "ROWS",   "values": [     ["Item", "Cost", "Stocked", "Ship Date"],     ["Wheel", "$20.50", "4", "3/1/2016"],     ["Door", "$15", "2", "3/15/2016"],     ["Engine", "$100", "1", "30/20/2016"],     ["Totals", "$135.5", "7", "3/20/2016"]   ], }

For further information on Google APIs, you can check the official documentation here.

This is how you can extract your data from Google Sheets using the RESTful APIs of Google.

Step 2: Transforming data into the correct format

Before loading the data, you have to make sure that you clean the JSON file to specify the exact columns that you want. The data from Google Sheets is tabular and so will not need any flattening before it is loaded into Postgres. This also means that it may be helpful to convert into CSV format before loading. You also have to ensure that the data types from Google Sheets match their corresponding types in Postgres.

It may also be necessary to create a schema to match each of your tables in Postgres to endpoints from the Google Sheets data. Postgres provides support for a wide variety of data types.

For further information about the supported data types, you can check the official site here

Step 3: Loading Google Sheets data into PostgreSQL

Once you’ve transformed your Google Sheets data into the correct format, you now load it into your PostgreSQL database. Create a staging table and ensure that the table structure matches your data file. You can use the following command to create your staging table:

CREATE TABLE TABLE_NAME (COLUMN_1 TYPE, COLUMN_2 TYPE……)

Use the copy command to load data from your CSV file that contains your Google Sheets data into PostgreSQL as follows:

COPY table_name FROM 'file_name.csv' HEADER CSV DELIMITER ',';

For further information on using the copy command, you can check the official documentation here.

This is how you can write manual ETL scripts and access Google Sheets using its RESTful APIs to connect Google Sheets to PostgreSQL.

Limitations of migrating data using Google APIs:

  • TIme-consuming: You will have to manually write a lot of code under this method. This takes up a lot of time and may not be very helpful in organizations that enforce strict deadlines.
  • Requires Constant Maintenance: This method will return inaccurate data in the event that there is a connectivity issue or issues with the Google Sheets API. Consequently, constant monitoring is required just to ensure that you have accurate data
  • Difficulty with Data Transformations: It is impossible to perform fast data transformations like currency conversions under this method
  • Difficulties with Real-time data: The data captured in this method is at a point in time. You have to write additional code and configure cron jobs to have basic real-time functionality

Conclusion

You have learned about 2 methods you can use to connect Google Sheets to PostgreSQL. The manual process requires configurations and is demanding, so check out Hevo, which will do all the hard work for you in a simple intuitive process so that you can focus on what matters, the analysis of your data. 

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Want to try Hevo? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand. Have a look at our unbeatable pricing, which will help you choose the right plan for you. You can now transfer data from sources like Google Sheets to your target destination for Free using Hevo!

What are your thoughts on moving data from Google Sheets to PostgreSQL? Let us know in the comments.

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