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Looker vs Tableau Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 15, 2026

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
Ranking in Embedded BI
10th
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
20
Ranking in other categories
No ranking in other categories
Tableau Enterprise
Ranking in Embedded BI
1st
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
309
Ranking in other categories
BI (Business Intelligence) Tools (2nd), Reporting (2nd), Data Visualization (1st)
 

Mindshare comparison

As of April 2026, in the Embedded BI category, the mindshare of Looker is 6.4%, down from 9.0% compared to the previous year. The mindshare of Tableau Enterprise is 17.6%, down from 34.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Embedded BI Mindshare Distribution
ProductMindshare (%)
Tableau Enterprise17.6%
Looker6.4%
Other76.0%
Embedded BI
 

Featured Reviews

Hemanthreddy Vakiti - PeerSpot reviewer
Data Engineer at a tech vendor with 10,001+ employees
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.
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

"The stability of Looker has been good since I have been using it. However, it depends on what components are being used."
"Looker is an extremely valuable product that can really transform your company's ability to use data to answer challenging questions."
"The most valuable features are the ability to create visualizations for non-technical employees, as well as the ability to provide ways to dynamically slice the data."
"Since we brought Looker into our project, it has improved data visibility and enabled faster interaction between us and our client."
"Technical support is the best ever."
"I would rate the stability a ten out of ten. I didn't face any issues with stability."
"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."
"Looker allows you to generate the most optimal SQL queries in a DC through UI actions. We had signed a contract with Google Cloud to use BigQuery. That was the primary reason we adopted Looker. It works better with BigQuery than any other BI platform. We also like how this tool was developed. It was designed with an eye toward microservices architecture."
"It's easy to start using to deliver off-the-shelf visualizations, it makes it easy to share dashboards with a team, and it's a comprehensive solution that can scale from desktop (analyst, developer) to server (large end-user audience) with small or no changes."
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"Because Tableau is a lot simpler to implement, we've been able to train people to do their own reports, so it's much better from a self-service perspective."
"Valuable features include the various “Show Me” graph options; the ability to do forecasting (which is an area that Tableau needs to continue growing its modeling capabilities); and the immediate responsiveness to adding dimensions/measures and their effect on the visualization."
"The solution has a lot of customization when comparing to Microsoft BI."
"The ability to present data is very effective, providing great impact and good online information."
"Our decision-making process has been streamlined."
"Overall, in my short time using the product, I've been largely happy with the results."
 

Cons

"Their needs to be much more control of visualizations to become more on par with Tableau."
"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."
"Stability needs improvement."
"There is a lot of customization that we needed/need to build ourselves. Other BI tools have more out of the box."
"There have a been a few minor bugs, including a security bug that did not affect us."
"This product is useful for non-technical users, who are able to use the interface to easily slice data. But for the admin users who are responsible for maintaining the schemas and files behind the scenes, it can easily become a chore, as there is a lot of manual work involved in defining the schemas of the connected database(s), as well as any refactored tables; the restrictive syntax also makes maintenance difficult."
"Some of the visualizations are a bit limited on how much you can customize them."
"Looker doesn't connect to Excel, which is a huge disappointment because a lot of data is presented in Excel. Also, it can't consume data directly from REST APIs, which is necessary. Looker needs to expand its horizons when it comes to data sources. The inability to connect to different data sources is hampering our use cases. Currently, it only has an ODBC connection that connects to a database. It needs to connect to other data sources, such as Excel, APIs, and different platforms."
"When I've done presentations in the past, I've had issues with uploading the cartography."
"If they could add global filters in the stories, more chart types, and default colours, it would help."
"Tableau is not currently a good database for handling built-in models for data science in order to test, train and run the models."
"It should allow user-defined functions."
"What is happening, with so many tools coming up in the market, is that people have to continuously get educated in order to use some of the more advanced features."
"It needs a little bit more advanced modeling. I would like to see functionality like Cognos has in the Framework Manager."
"I had to spend a good amount of time to create them via multiple workarounds."
"In my experience most (all) enterprise-scale clients have multiple, entrenched BI reporting tools that Tableau will have a tough time to displace."
 

Pricing and Cost Advice

"It's not cheap, but it's not expensive for big companies."
"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."
"I do not have to make any payments to use the solution."
"It is cheap."
"Looker is expensive and could be made better by reducing it."
"Licensing fees are paid on a yearly basis."
"The cost of the solution should be improved."
"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."
"The price of Tableau could improve. The license is too expensive."
"Its price is a concern. It is more expensive than Power BI. My guess would be that it is $1000 or less per year. We might go for Power BI in the future because of its umbrella with Microsoft licensing. It is much cheaper for us to use Power BI, and some folks will go in that direction because they don't want to pay the higher license."
"Tableau is an expensive solution, though it comes with its advantages."
"The pricing for Tableau is the same as the other products in the market."
"It is a bit overpriced."
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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
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 Business117
Midsize Enterprise67
Large Enterprise184
 

Questions from the Community

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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 Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...
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 been working on and off Tableau for about a year, but getting to work on it consta...
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. This relatively short amount of time can make all the difference for companies ...
 

Comparisons

 

Also Known As

No data available
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

Yahoo!, Etsy, Kohler, Hipcamp, Hubspot, Kickstarter, Venmo, Dollar Shave Club, 600+ customer
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.
Find out what your peers are saying about Looker vs. Tableau Enterprise and other solutions. Updated: March 2026.
885,667 professionals have used our research since 2012.