🆚 Google Data Studio vs. Power BI

Type

Business intelligence software
Business intelligence software

About

Data Studio is a cloud-based business intelligence and data visualization tool from Google that enables users to create interactive dashboards and reports from connected data sources.

It features a drag-and-drop report editor, a wide range of visualization types including charts, tables, and geo maps, interactive controls such as filters and date ranges, real-time data updates, and built-in sharing and collaboration.

Read more…

Power BI is a unified, scalable platform for self-service and enterprise business intelligence from Microsoft.

Headquarters

Mountain View, California, United States
Redmond, Washington, United States

Website

Pricing

Free version ✔️Self-service business intelligence
Data Studio Pro$9/user/project/month
Free version ✔️
Pro$14/user/month
Premium$24/user/month

Categories

BI › Rank #4
BI › Rank #1

Popularity

Determined by the number of sites using each technology.

The Power BI tool is 1.9 times more popular than Google Data Studio.
Total websites

Market share

BI

Popularity by country

Determined by the number of sites detected from each country.

Power BI is more popular in the United States, the United Kingdom, and the Netherlands, while Google Data Studio is more popular in Singapore, India, and Thailand.
United States
Singapore
United Kingdom
Netherlands
Norway
Australia
Germany
Brazil
India
Thailand

Awards

Popularity by domain category

Determined by the number of sites in each category.

Power BI is more popular among sites focused on business, government and military, and education and reference, while Google Data Studio is more commonly used on Internet services, general news, and software and hardware sites.
Business
Government/Military
Education/Reference
Public Information
Health
Non-Profit/Advocacy/NGO
Finance/Banking
Marketing/Merchandising
Internet Services
General News

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#5,710
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Name
Rank
View more ➝

See also

🗃️ About This Data