Try our new research platform with insights from 80,000+ expert users

Tableau Enterprise vs XLCubed comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 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

Tableau Enterprise
Ranking in Reporting
2nd
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
307
Ranking in other categories
BI (Business Intelligence) Tools (2nd), Data Visualization (1st), Embedded BI (1st)
XLCubed
Ranking in Reporting
35th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Reporting category, the mindshare of Tableau Enterprise is 20.2%, down from 23.9% compared to the previous year. The mindshare of XLCubed is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Reporting Market Share Distribution
ProductMarket Share (%)
Tableau Enterprise20.2%
XLCubed0.4%
Other79.4%
Reporting
 

Featured Reviews

Uzair Faruqi - PeerSpot reviewer
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.
it_user1391316 - PeerSpot reviewer
Cost effective with great capability, performance, flexibility and visuals
In general, we're happy with the solution but we're always looking to see what else is out there. The thing we've struggled with is our partnership with Tagetik UK, the consultants, and the issue we had gaining access to consultants to develop the solution on our behalf. Thankfully we connected directly with XLCubed and now have a pretty close and good relationship with them so the earlier problem we had of actually getting resources to help us develop has now been solved. One of the things that we've been asking for and would like as an additional feature is a sort of benchmarking functionality. The ability to be able to benchmark, directly against the company digital corporate numbers. That said, there seems to be improved functionality within the latest release that could help us develop that further.

Quotes from Members

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

Pros

"Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good. It is a very good tool, and it basically brings life into data with good design. We have been creating a lot of interactive visualizations and dashboards. It has a public version. There are public communities from where you can get a lot of examples for practice."
"It's a very good, flexible product, and it's easy to learn."
"Our customers love the visual capabilities on top of it and the ability to explain and get the required data. There is no other product like Tableau in the business intelligence and analytics space."
"There is a lot of APIs available, which means that Tableau can be customized to a large extent."
"I like the solution's web version, more so than Power BI's web version. It just makes it easier to drag and drop things and to blend data on the backend. It simplifies the process."
"The ability of filtering and segmentation of the data makes it very flexible compared to other tools."
"Technical support has been responsive."
"The maps and colors and interface are all fantastic."
"Great capability, performance, flexibility, visuals, and the solution is also very cost effective."
"I am looking forward to testing their full graphics that are available, as they looked very interesting in the demo."
 

Cons

"It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export."
"Tableau support could be improved."
"When you create new fields in Tableau and you enter the formulas, there is a new small window that is there in the interface. You can enter the calculated fields, it could be more user-friendly. At this time it is limited and hard to understand at the beginning. The fields should be easier to use, such as in Microsoft Excel. You can have a difficult time understanding what to do in the fields, you end up doing trial and error to figure it out."
"Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment."
"We need big servers to perform the operations that we are doing. They should probably relook at its architecture."
"I also work as an SME on the platform side. Tableau is very nice and jazzy for the end-users, but there are pain points for the admins. Performance is something about which we hear a lot of complaints, such as the dashboard doesn't open in time. It performs well on the desktop but not on the server. I know that there is always a limitation when it comes to a huge amount of data or the complexity of the calculations, but we often hear from end-users about the performance on the server side. It is easy to drag and drop all the columns and do what we want, but if it is not going to load better on the server, users are not going to like it."
"When we put more information on a single screen, it gets compressed and superimposed in many places while scrolling."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"Would like the ability to be able to benchmark."
"There should be a better or an easier way to establish that connection to external sources."
 

Pricing and Cost Advice

"In general, if someone is new and wants to learn Tableau, it's around $70 per month."
"Buy 50 at a time. Project your use base every three months, and project your requirements forward."
"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."
"For big business, Tableau could be expensive as having a lot of Tableau server users (entering with a browser to reports) could be a bit expensive."
"For the use and the capability of the software, it's $70 per month, and that is quite inexpensive."
"Tableau is an expensive solution."
"We are on an annual license which costs us $1,400 which is very expensive. Microsft BI is less expensive."
"The product's price is relatively inexpensive and manageable for enterprise-level companies."
"14,000 Pounds per year for licensing."
"I am still using the two-week trial, but at first sight, the price is reasonable."
report
Use our free recommendation engine to learn which Reporting solutions are best for your needs.
870,701 professionals have used our research since 2012.
 

Comparison Review

it_user6330 - PeerSpot reviewer
May 2, 2013
MicroStrategy vs. Tableau
After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
9%
University
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise66
Large Enterprise182
No data available
 

Questions from the Community

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 ...
Ask a question
Earn 20 points
 

Also Known As

Tableau Desktop, Tableau Server, Tableau Online
No data available
 

Overview

 

Sample Customers

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.
Marshalls Ltd, BP Exploration and Production, Thorntons, Ted Baker, Bristol-Myers, Rank Group, ING Bank Genve, Cargill Value Investment, Chloride Power, Auchan, Erste, UEFA, Novartis, Porsche Informatik, Raiffeisen Bank International
Find out what your peers are saying about Tableau Enterprise vs. XLCubed and other solutions. Updated: September 2025.
870,701 professionals have used our research since 2012.