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Looker Studio vs Microsoft Power BI comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 4, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Looker Studio
Ranking in Reporting
9th
Average Rating
7.8
Reviews Sentiment
7.3
Number of Reviews
13
Ranking in other categories
No ranking in other categories
Microsoft Power BI
Ranking in Reporting
1st
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
321
Ranking in other categories
BI (Business Intelligence) Tools (1st)
 

Mindshare comparison

As of July 2025, in the Reporting category, the mindshare of Looker Studio is 2.9%, up from 2.6% compared to the previous year. The mindshare of Microsoft Power BI is 25.8%, up from 25.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Reporting
 

Featured Reviews

Vijay Subramanyam - PeerSpot reviewer
The ability to perform aggregation before visualization allows for effective data slicing and dicing
Looker's ability to perform aggregation before visualization allows for effective data slicing and dicing. The seamless integration with Excel and Google Sheets and custom filter creation features facilitate detailed trend reports and analysis. Looker has significantly improved productivity by reducing the time spent on creating summary reports from weeks to a day.
Shoury Priyanshu - PeerSpot reviewer
Facilitates seamless data aggregation with some outdated visual elements hindering user appeal
Real-time data integration is an area for improvement. Although I've worked on several solutions involving real-time integration, it's not very user-friendly and often lags, especially with over a million data rows. This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today. There are challenges with scalability, requiring multiple pages in dashboards to manage these issues. Visualization could be improved as it appears outdated. Users, especially newcomers, find it unappealing and not user-friendly.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Valuable features include advanced integrated analysis and easy implementation."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"The ability to design complex data models and equations."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues."
"The integration with Excel and Google Sheets is a valuable feature, making it easy to access and visualize data."
"The product's initial setup phase is very simple."
"Looker's ability to perform aggregation before visualization allows for effective data slicing and dicing."
"In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven."
"My favorite feature is the power query editor, where it can do the data transformations."
"Power BI is a complete ecosystem. It has an integrated ETL tool and good connectivity with applications such as Office 365 and SQL. There are also solutions for RPA, such as Microsoft Power Automate and Microsoft Power Apps. Power BI now has integration with Power Query, which has an AI feature for text analytics. Text analytics is a very good feature. This feature is also there in Tableau, but I like it in Power BI because you can write something like, "What is the total sale in the Eastern region?", and it will give you the answer. For example, when you have different types of user opinions, you just run one algorithm and you will have the output that provides the number of positive and negative responses. You can even have a dashboard with positive remarks. This feature has been introduced recently. Power BI supports the DAX and Power Query M languages. These languages are making Power BI very strong in data analytics, and you can do many types of analysis."
"Its connectivity with other Office applications, mostly with Excel, and the ability to deploy it very easily are the most valuable features. It comes sort of bundled with the cloud, so you don't need to set up a server and a standalone infrastructure. So, getting into the system or building something that you can deploy is very easy and very cheap. With other systems, you need to have a server, and you need to have a license for the server. The initial setup is very costly."
"The product is easy to use and simple to navigate."
"Everything that's in M Query and DAX is the heart of Power BI because with these tools you can make up for a lot of other missing features."
"It is a pretty straightforward and flexible solution for data integration and modeling. It is a low-code solution. When you are doing data integration, you can use the GUI, which is very simple and straightforward. You can also do very intricate custom queries and model it at different levels. It is very easy to use and scalable."
"Many of my customers already use Microsoft products like Office 365, so I often propose Microsoft Power BI because it integrates well with all the standard Microsoft business tools. And it's the quickest tool to implement and start using daily."
 

Cons

"Panels are not as easy to use as other data extraction UIs."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."
"The challenges with Google Data Studio are associated with the security part, making it an area where improvements are required."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"The performance of Looker needs improvement, particularly the report loading time, which is critical for business users."
"The tool should improve on live data integration for quicker data reflection."
"It's not yet a replacement for a complete BI tool."
"There are certain features that are only available in the cloud version. It would be beneficial if they could be brought down to the on-premise version without the necessity of using the enterprise SQL database, as that can be very costly. We need more cost-effective features that are available in the cloud to be accessible on-premise."
"One of the more difficult things to do is to export some of the data from Power BI to Excel."
"It would be better if they had some video tutorials. Most people from an Excel background may struggle with measures in Microsoft BI."
"Maybe they can enhance the UI a bit. Right now, it's very basic, I would say, compared to the MicroStrategy or Qlik."
"When I create measures, sometimes the error messages aren't clear. It makes me spend more time searching for solutions. I need the error messages to be more specific. So, I would like clearer error messages when creating measures."
"I would suggest improvements in visualization standards, particularly in customization and appearance."
"It has limited performance capabilities in terms of connecting to large transactional databases, but it is fine for simple and quick queries from Excel spreadsheets or one table. The premium level is going to be more applicable for the higher transaction-level databases."
"We identified a couple of issues in the reports. Some reports took too long to load, particularly at the end of our data refresh."
 

Pricing and Cost Advice

"The solution is free but the Google Looker is expensive."
"The tool is free."
"The product is available for free."
"The cost is quite affordable based on feature analysis."
"I think the tool is cheap because you don't need to pay anything for using the tool. However, when connecting and analyzing other data sources, you should consider where to analyze this information because Google Data Studio doesn't handle much data well. You must also consider how you will connect this data to it. In this case, you might need to hire DevOps or a data team to help with these issues."
"The price for this solution is reasonable. However, there is an additional cost if you want to publish the dashboard privately."
"MS BI comes with all the tools and it is, to the best of my knowledge, the most affordable solution."
"Our license is paid yearly and we have found that we have to be careful not to over-extend our usage in order to avoid upgrading our capacity plan."
"The licensing can be complicated."
"Pricing is a big advantage that Power BI has over Tableau. Power BI is three or four times cheaper than Tableau. For my personal use, I will definitely prefer a $20 monthly fee of Power BI rather than a $70 monthly fee of Tableau. If you pay altogether for Power BI, they give you a discount, whereas, with Tableau, there is no discount. There are three versions of Power BI: Free, Pro, and Premium. The Premium version comes with a lot of things. There is no extra or hidden fee. You pay every month, and the software is with you. If you upgrade, there will be some extra charges."
"I'm unsure about the exact cost, but the Pro license comes out to around $10 per user. There are also additional costs for custom visuals that you can pay for."
"The license is on a yearly basis."
"The price of the solution can be expensive if you want to synchronize your data more."
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Comparison Review

it_user79932 - PeerSpot reviewer
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
13%
Manufacturing Company
9%
University
7%
Educational Organization
22%
Financial Services Firm
10%
Computer Software Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Google Data Studio?
The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, all...
What needs improvement with Google Data Studio?
From the perspective of infrastructure, I cannot provide a valuable opinion on the ease of use and customization options of Looker Studio. I can ask our designers how they feel since they have expe...
What is your primary use case for Google Data Studio?
We use Looker and Looker Studio, as Looker licenses Looker Studio for data presentation and reporting. With GCP, we use Cloud Functions, Cloud Run, Kubernetes, and we utilize BigQuery extensively. ...
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...
Is Power BI a complete platform or only a visualization tool?
Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize information, control users accessing information, the configuration of governance po...
How does Oracle OBIEE compare with Microsoft BI?
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle ...
 

Comparisons

 

Also Known As

Data Studio
SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
 

Overview

 

Sample Customers

Genesys, Shueisha
Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
Find out what your peers are saying about Looker Studio vs. Microsoft Power BI and other solutions. Updated: June 2025.
860,592 professionals have used our research since 2012.