Connect BigQuery to Google Sheets

Windsor.ai allows you to automatically sync BigQuery and Google Sheets. The integration occurs without coding. To access your BigQuery data in Google Sheets, just follow a few steps on our connector page, and your data will be ready in minutes.

Integrate BigQuery to Google Sheets

Why do I need BigQuery and Google Sheets integration?

Data transferring from BigQuery to Google Sheets allows you to analyze data in a more user-friendly and familiar Google Sheets environment and gain vital insights faster. The integration also empowers you to do the following:

Simplify data analysis

Teams with little or no technical background can easily query and assess data within Google Sheets. This eliminates the need to write complex SQL queries associated with the BigQuery platform, leading to faster, smarter decision-making processes across departments.

Improved collaboration across the board

Google Sheets’ collaborative feature allows different team members to access the same BigQuery data in real-time and work on it simultaneously, no matter their location. This leads to collaborative and improved decisions that move the business forward. By simplifying data accessibility, the integration also ensures that non-technical users participate in data-driven discussions without dealing with BigQuery’s complicated backend systems.

Perform quick prototyping

Quickly generate and test data analyses and hypotheses within Google Sheets before performing complex queries in BigQuery. Import data subsets into the spreadsheet program to perform quick analyses or explorations using formula testing, visualizations, or basic calculations. Full-scale queries in BigQuery might be expensive and time-consuming, so using Google Sheets helps save time and computational resources.

Centralize data insights

You can extract various datasets from BigQuery into a single spreadsheet to create a consolidated repository for reporting and analyzing data. Easily compare metrics, spot important trends, and come up with actionable conclusions.

Create custom reports

Google Sheets enables you to easily create custom reports that focus on specific business needs or information that matters to key stakeholders. You can highlight performance indicators like revenue, sales growth, and conversion rates depending on the data source to gain vital insights. Generating such reports using BigQuery may be stressful, especially for users unfamiliar with SQL or database concepts.

How to connect BigQuery to Google Sheets

It is very simple to connect BigQuery to Google sheets, it can be done in a fast and easy manner with Windsor.ai.

Connecting BigQuery Data Source to Windsor.ai

1. Register

Register or login if you already have an account.

2. Select your source
You need to select BigQuery as a Data Source and Grant Access to Windsor.ai.

3. Select Destination
In the Preview & Destination page select Google Sheets Data Destination and Copy your API key.

Next Step:

You can choose between two options:

Option 1: Advanced and for large data volumes

Click this link to install the Google Sheets add-on
Go to Extension – Ad Data and Analytics by Windsor.ai – Login
Enter your API key: [your API Key] and click Login
Start using the add-on in Google Sheets from the Add-ons menu in Extension – Ad Data and Analytics by Windsor.ai – Get Data into Sheet in Google Sheets document and select your fields

Option 2: Quickstart

Copy the snippet below into your Google Sheet. Only works for fast queries below 60 seconds, use the add-on in case of issues.

The URL works as an API data feed and the fields can be adjusted with the parameters in the URL.
You can add any field that is available in the data sources you have added.
=IMPORTDATA(“https://connectors.windsor.ai/bigquery?api_key=[your API Key]&date_preset=last_28d&fields=account_name,clicks,date&_renderer=googlesheets")
and replace [your API Key] with your API key. The list of selected fields must contain a date field. The fields which are listed after &fields= are simply a set of standard fields which you can customise. A full list of metrics and dimensions can be found in our BigQuery connector documentation. Customise the URL to your liking.

FAQs

What is BigQuery?

BigQuery is a data warehouse and analytics tool that helps users manage and assess data using machine learning and geospatial analysis. The platform’s storage capacity can be considered limitless, with the ability to process petabytes of data in minutes. BigQuery is serverless, so users don’t have to deal with the hassle of managing infrastructure or hiring a database administrator. Languages like Python and SQL are supported.

View Documentation

What is Google Sheets?

Google Sheets is a cloud-based spreadsheet program typically used for data analysis, programming, data management, budgeting, accounting, and more. It enables users to generate and edit files in real-time and invite others to collaborate. The best part is that the app keeps a revision history, making it possible to track the changes made. A permission system is also available to regulate the changes users can make.