Google Data Studio VS Power BI


For any company, it is crucial to be able to make sense of its data. Even more important is to visualize that data in an understandable form that can be shared with clients. That is the reason that data analytics tools like Power BI and Tableau have been trending in the market. Google Data Studio is one of the newest entrants in this field. Go through Google Data Studio VS Power BI below.

However, this is not Google’s first data analytics tool. In fact, Data Studio has been said to be an upgraded version of Google Analytics, an older product.

Like Microsoft’s Power BI, data analysts can use Google’s Google Data studio to bring their data to life in smart dashboards. Both help decision-makers visualize data in easy-to-understand reports. But there are critical differences between these two tools.

Which tool would serve you better: Google Data Studio Vs Power BI?

In the following table, we give you a side by side comparison of both the tools on the most important criteria.

If you are also looking at the pros and cons of Power BI compared with Tableau, check out our post Tableau Or Power BI, Which Is The Market Leader?

S No. Basis Google Data Studio Power BI
1 Release Date October 2018 July 2015
2 Price Google Data Studio is Free. Exception: You have to pay a fee for sourcing data from Community Connectors. Three Version:
1. Power BI Desktop: Free
Limited features include data cleaning and preparation, customization, publish to Power BI services
2. Power BI Pro: $9.99/month per user
Full features including Dashboards with a 360-degree real-time view
3. Power BI Premium: $4995/month per user
With advanced analytics, Big Data support, Enterprise BI, clouds, and on-premise reporting
3 Data Sources Data can be loaded from over 200 connectors.
Free sources:
Google Connectors like Google Sheets, Google Ads, Google Analytics, MySQL, etc.
Partner Connectors like Adobe Analytics, Facebook Ads, Chrome UX Report, etc.
Paid Sources:
These are the Community Connectors. They allow connection to any internet-accessible data source, for example, social media platforms.
It gives you a wider range of data sources than Google data Studio.
Files: Excel, CSV, XML, Text, JSON and Folder
Database: SQL Server, Oracle, IBM DB2, MySQL, SAP HANA, etc.
Microsoft Azure: Azure is integrated with Power BI giving access to sources like Azure SQL Database, MS Azure Document CB, etc.
Power BI Data Sets and Data Flows
Other Sources: Spark, Zendesk, Hadoop, etc., and online sources like Dynamic CRM online, Google Analytics, etc.
4 Set up Google Data Studio is Cloud-based. There is no extra set-up needed. Power BI Desktop: requires you to install tools on your desktop. One of the tools, Query Editors allows data modeling.
Power BI Service is Cloud-based. Here, Data modeling is limited.
Sometimes, designers have to use both these versions for more efficient results.
5 Usage – Designed for semi-technical users, mostly business analysts
– More suitable for the smaller organization using mostly google data sources
– Designed for beginner and advanced level business analysts
– More suitable for bigger enterprises with more advanced needs
6 Sharing You can easily share reports by creating URL links. Anyone with the link can access the reports. Users cannot share reports outside the domain.
7 Compatibility with Mobile Device Not mobile-friendly. It is mobile friendly. It has mobile applications for iOS, Windows, and Android devices.
8 Ease of Use GDS serves many functions. The ease of learning depends on what function you want to use it for. It is easy to learn and easy to use.
9 Customization Offers full customization. You can
– Add pages and charts to your dashboards as per your needs
– Change colors of your own and client’s Dashboards
– Can use conditional formatting
You can use visualizations that are available for your reports and dashboard, or you can customize them.
But users have often reported complaints regarding refreshing in Power BI customizations.
10 Templates It provides around 30 templates. For instance, Pie charts, Line charts, Time series, etc. Power BI also provides around 30 templates, but you have the option to add more via two options:
1. Import template form file
2. Import template from the market place
11 Data Updating It refreshes its data every 12 hours. It does 8 automatic refreshes per day.
12 Data Cleaning Google Data Studio does not perform data cleaning. You are required to upload clean data to view reports. Power BI has a Power Query that can filter and clean raw data, combine tables, convert unique characters, etc.


In Short, your choice would depend a lot on what your primary requirements are.

You can go with Google Data Studio if creating dashboards and reports that you need to share with clients is your objective, and the price is a concern for you. However, if your data is unclean and needs more complex analysis, and if you want to produce more customized solutions for your clients, Power BI is a clear choice.

One aspect in which Google lags far behind Power BI is its awareness among Indian consumers. According to an industry survey conducted by Edu4Sure, only 19% of the responders had heard of Google Data Studio. Only 4% had actually used it. It suggests that Google has not marketed Google Data Studio enough to be adopted in the Indian data analytics hub.

In conclusion, Power BI is the superior tool in our opinion and the safer option, considering its position today as the leader in data analytics.



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