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Looker vs Microsoft Power BI vs Tableau Enterprise comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Mindshare comparison

Embedded BI Mindshare Distribution
ProductMindshare (%)
Looker6.4%
Tableau Enterprise17.6%
Qlik Sense8.6%
Other67.4%
Embedded BI
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Microsoft Power BI9.3%
Tableau Enterprise6.7%
Amazon QuickSight3.7%
Other80.3%
BI (Business Intelligence) Tools
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Tableau Enterprise6.7%
Microsoft Power BI9.3%
Amazon QuickSight3.7%
Other80.3%
BI (Business Intelligence) Tools
 

Featured Reviews

Hemanthreddy Vakiti - PeerSpot reviewer
Data engineer at Cognizant
Automated dashboards have transformed daily trend analysis and now drive faster business decisions
One of the best features that Looker offers is LookML, which allows us to develop dashboards directly rather than dragging and dropping. We can also customize some fields that are not available in the table by combining different tables using LookML. Compared to other reporting tools, Looker is somewhat more customizable and interactive. With the help of Views and Explore in Looker, we can combine different tables and create a unique column that is not available in the table, and then use that column in our reporting dashboard. Since we brought Looker into our project, it has improved data visibility and enabled faster interaction between us and our client. Rather than simply using free form or Essbase, seeing customizable and visualized data in Looker allows the business users to understand the trends in the data more easily rather than just seeing numbers. It has helped us save a lot of time. The automated dashboards that we develop allow us to run the dashboard for the coming years with only some modifications, which has reduced some manpower and working hours. When I joined this project, there were around eight to nine people for developing Looker dashboards. Once the development part is completed for almost all cases, the next part is just monitoring the dashboards and making some minor changes required to align with business goals. After development, the team was reduced to three or four people, so the manpower has significantly reduced, and time taken has decreased as well. For a business user to understand data from free form or Essbase, it usually takes thirty minutes to an hour to go through the previous day's trend. However, with the visualization tools in Looker, they can easily understand the data and compare it to the previous one or two years using a bar graph, pie chart, or other graphs. The return on investment has been very good. The number of employees has reduced to half, and time is saved by nearly two to three hours a day because of automated reports. We are just monitoring the reports to ensure they are released. This has saved nearly two hours per day, and the team has been reduced to half.
Antonio Flor - PeerSpot reviewer
Lead Anaplanner at Chaucer Group
Data integration has improved reserving and expense control while collaboration drives fast dashboards
Regarding drawbacks or weak points in Microsoft Power BI, it may not be directly related to the tool itself, but with our architecture, as we couldn't get a service account, which is an email address that has no relationship with the employees, just to establish the connection with Anaplan. We couldn't get it to work on SSO, so we use an employee account which could be a point of weakness, meaning if the person leaves, that connection will break. If the person goes on holiday and we need to refresh, we have to change the connection as well, but we have to live with that since we're not using SSO on the service account. Regarding the natural language processing feature, we're trying to avoid using it too much because it can slow down the connection, so as much as possible, we try to build the logic and any transformation in Anaplan, and then deliver an end product to Microsoft Power BI.
Uzair Faruqi - PeerSpot reviewer
Head Of Data Science at Mjunction Services
Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization
Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

Quotes from Members

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

Pros

"If one has to deal with large volumes of data, which I categorically could tell is big data and has to create visuals, Looker is the tool to go."
"From a developer's perspective, the way the functionality's being handled is great."
"It is easier and quicker to find things in the database."
"With Looker, I have experienced benefits in terms of usability and shareability."
"With respect to buy solutions, cost is relevant. However, the Looker solution would have outmatched the ongoing multi-million budget spending with respect to cost-efficiency."
"The stability of Looker has been good since I have been using it. However, it depends on what components are being used."
"We LOVE Looker here at Snagajob."
"I would rate the stability a ten out of ten. I didn't face any issues with stability."
"It is low-cost and easy to deploy. It is fully-featured."
"MS SQL & SQL Server Analysis Services."
"The product is scalable."
"Microsoft BI is worth it."
"It's a great tool for visualization data, and it's free for engineers."
"Microsoft Power BI is a powerful tool with many capabilities, but my favorite feature is its data modeling, which links tables together and allows teams to gain insights for KPIs by modeling data differently to meet various requirements."
"Other people can access data much more easily than before. Its usability is the main advantage, people in the company are using it."
"This product is good in terms of cost, it is pretty easy to implement, and I can recommend it for those features and the reporting."
"We experienced an 80% reduction in the amount of time it takes to prepare reports and dashboards using Tableau."
"Rapid visualization of data Interactive views connecting multiple data sources Reduces need for IT cycles (hours vs. weeks to create report) Ability to analyze problems quickly Ability to share reports and analyses quickly"
"The solution provides the leverage of having custom visualization and the capability of self-service."
"The ability of filtering and segmentation of the data makes it very flexible compared to other tools."
"Tableau has helped improve our organization by enabling layman people to use it."
"The solution deployment was straightforward."
"Most companies find it very easy to implement Tableau and to make an impact with their data because it's very easy to install, to learn and to start using."
"Tableau Desktop simplifies communication between analytics and senior executives."
 

Cons

"Features related to visualization should continue to be improved."
"The product does not have documented material."
"There is a lot of customization that we needed/need to build ourselves. Other BI tools have more out of the box."
"It needs to be more user-friendly."
"One thing is that Looker is not user-friendly to non-technical users."
"Stability needs improvement."
"They need to work more on interactivity in order to help users interact with the tool itself, and it needs to be more user-friendly."
"The integration with different databases must be improved."
"It was easy to implement Microsoft Power BI into our existing infrastructure, but integrating it with Oracle Cloud was very difficult. The integration with Oracle Cloud required us to build a sophisticated database replication process because the APIs for Oracle Cloud are very restricted in terms of volume, depth, and complexity of queries. However, the part of implementing Power BI into our infrastructure was very easy. It required almost no tech input because it was all part of Office 365. To overcome the integration issues, we developed an extract and update process, although it was quite complicated and involved a lot of IP. Power BI excels in integrations and its ability to handle various data sources. It would be beneficial if it could integrate more seamlessly with cloud interfaces like Oracle Cloud, although I understand the challenges with Oracle's policies on database access. Another area for improvement would be enhancing error messaging, especially when working with Dataverse and M Code for automation."
"Because of performance issues and because we're unable to do all the aggregation, I rate this solution six out of 10."
"Its setup and support should be improved. We would like to see more material for developers that provides clear explanations about how we can do data mining by using Microsoft BI. It would also be good if we can connect a feature to other customized machine learning solutions."
"It would be better if they had some video tutorials. Most people from an Excel background may struggle with measures in Microsoft BI."
"I am taking a course to be able to use the solution better. Some aspects of the solution are not straightforward."
"Its performance and stability can be improved. It takes time to load, and sometimes, it also breaks down for the whole region."
"One area for improvement in Microsoft Power BI is serviceability. Compared to one of its competitors: Tableau, there are a lot of things which you cannot do in this tool, that can be done in Tableau."
"The upgrade process could be improved."
"The data preparation should also be improved because it's not easy."
"Right now, Tableau is not so good at providing that extra bit of insight."
"I would like them to include the Italian language, as I can see there are other foreign language in the product."
"The cost of owning the solutions from Tableau is much higher compared to any other analytical solutions."
"It would like to see autosaving, embedded fonts and other options to improve the ease of dashboard layout."
"It’s a little bit slow on my system. I don’t know why, but I am looking forward to them developing a lighter version."
"People are migrating to Microsoft BI due to the speed, which is quite slow to load, and the lack of visualization options."
"Tableau is a company that does not respect partners."
 

Pricing and Cost Advice

"It's not cheap, but it's not expensive for big companies."
"I do not have to make any payments to use the solution."
"It is cheap."
"The price of Looker usually depends on the solution's provider, but it is usually cheaper than the other products in the market. Looker is offered at different prices for different companies."
"Looker is expensive and could be made better by reducing it."
"The solution's pricing is medium."
"The solution is priced well for what they offer. However, the premium version is very expensive."
"While Power BI is generally a paid product, particularly for enterprise features and scalability, you can start with the free version and still achieve significant functionality."
"MS BI comes with all the tools and it is, to the best of my knowledge, the most affordable solution."
"Pricing, that's where Microsoft beats Tableau. It is priced much cheaper."
"Price is the best feature of Power BI! You get a lot of value for the price. If you know how to use it, it's a great BI solution for your money."
"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."
"We view it as an expensive product."
"The value for money is definitely there."
"Best advice on pricing is to anticipate the desire for more licenses once the results of this product are acknowledged in other parts of your company."
"In Indian Rupees, Tableau costs about 30,000 to 40,000 per year."
"There is a license required, we pay an annual license which is priced fair."
"One of the biggest drawbacks of Tableau is the price, it is expensive. The price should be reduced."
"Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
"Its price is higher than Power BI and QlikView. Tableau costs around $70 per user per month, whereas Power BI is around $8 to $9. QlikView is around $30. Tableau has various prices for various models such as Creator, Designer."
"Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)"
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Comparison Review

it_user79932 - PeerSpot reviewer
Senior Manager - BI Head with 5,001-10,000 employees
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
Financial Services Firm
13%
Retailer
9%
Computer Software Company
8%
Media Company
8%
Financial Services Firm
11%
Manufacturing Company
9%
Government
8%
Computer Software Company
6%
Financial Services Firm
12%
Manufacturing Company
9%
Computer Software Company
9%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise8
Large Enterprise7
By reviewers
Company SizeCount
Small Business135
Midsize Enterprise58
Large Enterprise166
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise67
Large Enterprise184
 

Questions from the Community

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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 wou...
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 info...
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 ...
Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik ...
Tableau vs. Business Objects - Which is a better solution for visualization and analysis?
Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have be...
Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use....
 

Also Known As

No data available
SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

Yahoo!, Etsy, Kohler, Hipcamp, Hubspot, Kickstarter, Venmo, Dollar Shave Club, 600+ customer
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
Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.
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