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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
11th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
12
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
319
Ranking in other categories
BI (Business Intelligence) Tools (1st)
 

Mindshare comparison

As of March 2025, in the Reporting category, the mindshare of Looker Studio is 2.4%, down from 2.7% compared to the previous year. The mindshare of Microsoft Power BI is 27.3%, up from 25.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Reporting
 

Featured Reviews

Srini-Dhanaraj - PeerSpot reviewer
Available for free and can help businesses resolve their data migration problems
It is a stable solution. Stability-wise, I rate the solution a ten out of ten. Google Data Studio is a cloud-based tool. With cloud-based tools, there can be two challenges, the first one being associated with the bandwidth of your data strength. If I run a report from my home because of the wi-fi connection, it may give an excellent response. When I run the reports, Google Data Studio develops reports from my home, and because of wi-fi, it works in an excellent manner. When I am on the road or at the wheel, if I use the internet data from my mobile to browse my reports, the performance may not be good, and this issue is not because of the product but because of the bandwidth. The second issue arises when you connect Google Data Studio to a source system to extract the data to do the visualization. If the source system is not responding as quickly as expected, it could be the reason why the report may be printed slowly. Considering the aforementioned aspects, the problem may not be because of Google Data Studio but because of the source system.
James Balbach - PeerSpot reviewer
Robust system consistently elevates data visualization and seamlessly updates with user-driven advancements
Power BI is a general-use visualization system. I can express the performance of our network through high-level key performance indicators. It allows me to show detailed improvements in quality and safety and patient experience. I create improvement dashboards for task forces and work teams. I have built analytic dashboards that guide analytics, enabling research and dataset manipulation.

Quotes from Members

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

Pros

"The integration with Excel and Google Sheets is a valuable feature, making it easy to access and visualize data."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"Looker's ability to perform aggregation before visualization allows for effective data slicing and dicing."
"The product's initial setup phase is very simple."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"The solution is free so that is a good feature."
"The ability to design complex data models and equations."
"Valuable features include advanced integrated analysis and easy implementation."
"The solution is easy to use and flexible."
"The most valuable feature of the solution is that it is an easy-to-use tool."
"The stability is good."
"The DAX coding language is good for creating formulae."
"With the out-of-the-box Data Platform and Business Intelligence ecosystem, you get the entire platform with a single license."
"Power BI is a general-use visualization system. I can express the performance of our network through high-level key performance indicators."
"There was a lot of manual work involved with Excel, whereas once we moved on to Microsoft Power BI, it was a cleaner dashboard and it was faster too."
"It gives you an edge if you are on the Microsoft platform. If you have been using Microsoft products for a long time or if you have the Microsoft infrastructure, this is the right tool for you. It has seamless integration with Microsoft SQL Server and other sources, and you get the best of the three things (SSIS, SSAS, and SSRS) in one suite."
 

Cons

"The tool should improve on live data integration for quicker data reflection."
"The challenges with Google Data Studio are associated with the security part, making it an area where improvements are required."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"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."
"The performance of Looker needs improvement, particularly the report loading time, which is critical for business users."
"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."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"If you need data in real-time, it's not an ideal solution."
"It is kept very current, and there is an update literally every month. However, the interface changes quite randomly with no documentation, which is difficult at the domain and architectural level where you're planning things and engaging the business. Things change frequently, and you wonder where has the button for the new report gone. They should provide better documentation on interface changes. It should be better optimized. It is supposed to be a data integration tool, but it is doing relatively simple queries. It has its limitations. For example, you can only pull a number of columns. So, there is room for optimization on its ability to integrate multiple data sources. The desktop tool is very memory-intensive, and again, this is not documented clearly. It requires a heavy CPU and memory use, and it causes your operating systems to become unstable. I would like to see the ability to create datasets within Power BI. Microsoft is promoting Azure as a cloud solution, but it is dependent upon a desktop component, which seems a little bit deceptive. Data set is the basic element that you report from, but it has to be created on the desktop and then published to the cloud. So, you're in the cloud, and you create a data structure or the data flow, but you can't report from that. You have to leave the cloud, go to your desktop, create the data set on your desktop, and publish it to the cloud. You go back to the cloud and create your report by using that published data set, which is very non-intuitive. If you go to the Microsoft Power BI community, this is a common complaint across the entire community."
"The on-premises version lacks some technical features that are available with the Cloud version."
"If you are having millions of rows of data or you have a large database, Microsoft BI's performance depends upon how powerful your hardware is. When I am handling large amounts of data I do not use Microsoft BI or Tableau because of this, I use D3."
"I find the solution to be 70 percent stable."
"The handling of the workspaces can be made more granular for user access rights. It can be managed a little bit better in terms of the connection to Active Directory so that we have more granular access rights. I am not sure if this is really possible or if we can solve it differently, but we need a lot of workspaces, and we are not sure how we can deal with it from the access rights perspective."
"There are some limitations in Power BI; you have to work in the Power BI base. However, if you want something not out-of-the-box and you want something custom, you have to do a lot of work."
"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

"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 solution is free but the Google Looker is expensive."
"The cost is quite affordable based on feature analysis."
"The tool is free."
"The product is available for free."
"No comment."
"It is based on the usage. If you're using it, you pay for it, and if you're not using it, you stop paying for it."
"Its licensing cost is very high. It is $20 per user, which is very high, but it is a good product, so you pay for it."
"Make it low in cost. It is a no-brainer!"
"Microsoft BI is not very cheap. A premium license costs roughly 5,000 euros a month."
"From a cost point of view, it's competitive in the enterprise space, although it's not as competitive when you add up all of the additional costs. Things like integrations cost extra and it's probably where Microsoft makes more of the money."
"The solution is priced well for what they offer. However, the premium version is very expensive."
"If you purchase a license for a server, for users, or the professional version, you might not have to. The free version I think it can satisfy many customers' needs."
report
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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
14%
Manufacturing Company
11%
Financial Services Firm
11%
Retailer
8%
Educational Organization
43%
Financial Services Firm
8%
Computer Software Company
6%
Government
5%
 

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?
The tool should improve on live data integration for quicker data reflection. Currently, changes in Google Sheets take about three to five minutes to reflect in Looker Studio. Overall, the interfac...
What is your primary use case for Google Data Studio?
I use Looker Studio primarily for dashboard creation and data analytics. I have integrated it with Google Sheets, and I use it for project plan maintenance and data tracking.
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: January 2025.
841,004 professionals have used our research since 2012.