How to get data from BigQuery to Google Sheets automatically

Growing businesses means growing data, and this usually makes organizations turn to a cloud-based storage solution. In these scenarios, BigQuery is an increasingly popular option for data management.

With BigQuery’s data warehouse businesses can centralize their information in one place. Moreover, they can access and analyze huge amounts of this data whenever they need to.

BigQuery can be easily integrated with Google Sheets. This means that members of organizations are able to collaborate on projects using a familiar tool while also accessing an automatic, live stream of data sourced from BigQuery.

What’s even better, Google Sheets has analytical features that allow users to effectively optimize and manage their BigQuery data. This is perfect for projects where organizations need to analyze data frequently for updated results.

First, we’ll explore BigQuery in more detail and then we will go over a step-by-step on how you can connect BigQuery data to Google Sheets using Sheetgo.

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What is BigQuery?

BigQuery is one of Google’s many products, it is a data warehouse storage system that enterprises can use to store all of their data.

Its huge processing power allows BigQuery to carry out rapid SQL queries whenever you need them. Furthermore, under Google’s infrastructure, your data in BigQuery is constantly secure and accessible, perfect for project collaborations within organizations.

Why connect Google Sheets to BigQuery

As part of Google’s products, BigQuery can easily be integrated with Google Sheets. This has two main advantages:

  1. Connected sheets have all of the features and tools Google has to offer.
  2. Google Sheets has tools to effectively transform your data into powerful visual representations.

To learn more about Google Sheet’s analytical tools for data, read our article on How to analyze BigQuery data within Google Sheets.

Connecting BigQuery to Google Sheets allows you to transfer and analyze huge amounts of data while maintaining a live connection, so your data is always updated.

Let’s look at an example, say you want to import data of the current Google search trends into a spreadsheet. Connecting Google Sheets to a database using BigQuery would allow access to updated trends data while using the processing power of Google Sheets.

This powerful combination would help you identify the most popular trends or predict search trends to optimize your business’ marketing.

Connect your spreadsheets to your data sources

How to connect BigQuery to Google Sheets

There are two main ways you can connect BigQuery to Google Sheets: manually through Google Sheet’s data menu, and automatically using the Sheetgo web app.

Watch the video below or continue reading to learn both ways to create this connection.

Connect Google Sheets and BigQuery manually or automatically

Use Google’s connected sheets

This Google Sheets feature schedules automatic transfers within Sheets to the connected BigQuery data. Here is a breakdown on how to automatically import large datasets into Google Sheets and stay on top of the latest and critical company data:

  1. In the navigation menu on Google Sheets, select Data > Data Connector > Connect to BigQuery
  2. From here, select your desired BigQuery project, dataset and table or view.
  3. Your dataset will now appear in the Google Sheets file.

Google will automatically fetch the data in a new tab in your sheet.

BigQuery to Google Sheets connected sheets

Connecting BigQuery to Google Sheets automatically using Sheetgo

Although the above is an effective way to connect your data, Sheetgo offers other features which provide more advantages for businesses.

Here are just some of the benefits of using Sheetgo to connect BigQuery to Google Sheets.

  1. Unlimited rows of data: The in-built data connector function in Google Sheets limits you to about 16,000 rows of imported data. On the other hand, Sheetgo allows you to import unlimited rows of data, perfect for multiple large projects.
  2. No need for Google Enterprise account: Google’s BQ integration is only for Google Workspace An Enterprise Plus, Education Plus, Enterprise Standard, or Enterprise Essentials account users. With Sheetgo, you don’t need any of these accounts – simply connect your Sheetgo app to BigQuery and begin!
  3. Experience spreadsheet behavior: Sheetgo’s functions and features allow users to experience native spreadsheet behavior, unlike static results returned to your sheet by Google’s integration.
  4. Build on your workflow: Instead of a one-off import, Sheetgo allows businesses to continue to build on their workflows and create multiple connections between their imported BigQuery data to other projects. This multifunctionality is completely unique to Sheetgo.

Now that we explored the benefits of using Sheetgo over Google’s in-built function, let’s look at the step-by-step instructions of how to connect BigQuery to Google Sheets automatically through Sheetgo.

Step 1: Sign up for Sheetgo

Open the Sheetgo web application by clicking the blue button below. Sign up for Sheetgo with either your Google, Dropbox, or Microsoft account.

Step 2: Create workflow

Go on the Sheetgo web app. In your desired project, click Create connection. Then select BigQuery as your source.

BigQuery to Google Sheets 1

Step 3: Select your source

To select your source data, scroll down to the databases section and select BigQuery.

Click Grant permission to allow Sheetgo to connect with your BigQuery account.

BigQuery to Google Sheets 2

Step 4: Find your BigQuery Project

Next, you must select your Bigquery Project, Dataset name, and Table or View. This will determine the data you are using.

Once you are happy with this, press Next step.

BigQuery to Google Sheets 3

Step 5: Connect your dataset

It’s time to connect this dataset to Google Sheets. Select Google Sheets as your destination.

BigQuery to Google Sheets 4

Name your new file.

When you’re happy with this, press Finish and save.

BigQuery to Google Sheets 4

Connect, merge, filter or split your spreadsheets

Step 6: Automate your workflow

After saving your workflow, you visually see how it’s built in the workflow view.

Here, click on Automate to schedule automatic updates.

Sheetgo will automatically transfer your data from BigQuery to Google Sheets at the frequency of your choice.

Automating data transfers 6 - workflow view

Final thoughts

As you can see, Sheetgo is the best option for businesses looking to connect BigQuery to Google Sheets. Not only does it provide  a simple and efficient way to connect your BigQuery to Google Sheets files, it also has numerous advantages over the native feature allowing you to build up connections between workflows seamlessly.

In fact, Sheetgo’s integration not only connects BigQuery data to Google Sheets, but also Excel/CVS file. Read more about this here in our article on How to connect BigQuery data to Excel automatically.

For more information, tips, and guides for BigQuery and Sheetgo, check out our other posts below.

Editor’s note: This is a revised version of a previous post that has been updated for accuracy and comprehensiveness.

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