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Posit vs Tableau Enterprise 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

Posit
Ranking in BI (Business Intelligence) Tools
26th
Average Rating
7.6
Reviews Sentiment
7.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Tableau Enterprise
Ranking in BI (Business Intelligence) Tools
2nd
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
307
Ranking in other categories
Reporting (2nd), Data Visualization (1st), Embedded BI (1st)
 

Mindshare comparison

As of October 2025, in the BI (Business Intelligence) Tools category, the mindshare of Posit is 0.6%, up from 0.1% compared to the previous year. The mindshare of Tableau Enterprise is 10.3%, down from 19.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Tableau Enterprise10.3%
Posit0.6%
Other89.1%
BI (Business Intelligence) Tools
 

Featured Reviews

SUBRATADEY - PeerSpot reviewer
Addressing installation challenges to utilize interactive dashboards effectively
Posit is valuable because many geo-scientists I work with are more comfortable writing R scripts and using R Shiny, making it a suited choice for them. On top of that, it integrates with the application and database, creating interactive dashboards. While there's a need to manage a significant portion manually, the performance overall is stable.
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.

Quotes from Members

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

Pros

"I have found Posit’s integration with R, such as the autocomplete feature and the help panel, to be invaluable."
"The most valuable feature of Posit is that it allows users to host different models in one place, making it easy to share with colleagues and teammates."
"Overall, I think Posit is a stable product."
"The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now."
"The solution offers very good reporting."
"We frequently utilize visualizations using maps and different objects, all with rich coloring options. And tooltips are absolutely essential for us. Tooltips, like the pop-up descriptions when you hover over some object or graph. Those tooltips in Tableau are great features."
"Tableau has greatly enhanced our organization's data-driven decision-making processes by enabling us to create visually compelling reports and dashboards."
"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."
"All features are valuable. It is very user-friendly, and it is mostly drag-and-drop. If we have the dataset available, then we can develop any dashboard very quickly."
"The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use."
"The best part about Tableau is the visualization."
 

Cons

"I would like to see improvements in SSH capabilities."
"Posit lacks a smooth solution for the build and release pipeline, requiring duplicate effort for production transitions."
"Tableau's integration with Einstein Analytics could be better."
"If you mainly need a tool for BI reporting, it's not the best option. Tableau needs better abilities to generate simple reports, integrate, create databases, and work with data lakes."
"The price of Tableau is too high."
"The user story model is the most deceptive part of Tableau. It is a big marketing option, however, the reality is that it is not enough."
"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."
"The solution’s pricing could be improved."
"Bursting email is needed to deliver the reports to many people in their inboxes and this functionality is not provided by Tableau."
"The data preparation could integrate better with Tableau."
 

Pricing and Cost Advice

Information not available
"Tableau's licensing is pretty straightforward and simple."
"The cost of the solution should be improved."
"I believe it has a lifelong license, and once you purchase it, you don't have to renew it, but I'm not sure."
"I recommend that you discuss your needs with the salesperson and try to negotiate the price."
"We are on an annual license which costs us $1,400 which is very expensive. Microsft BI is less expensive."
"Be careful with the Tableau Viewer's licenses, and stay with the right number of users."
"The licensing model of Tableau has changed since we initially purchased it three years ago and it is more complicated, and I have found it to be more expensive. They have lost market shares to Microsoft BI. My company will probably change solutions this year because of the increased pricing model."
"Tableau is free."
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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
No data available
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
9%
University
7%
 

Company Size

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

Questions from the Community

What is your primary use case for Posit?
I use Posit for both Posit Connect and Posit Workbench. The Workbench is used for development, as there are many packages not supported by RStudio because I didn't have RStudio Pro. Posit Connect i...
What is your experience regarding pricing and costs for Posit?
RStudio Pro and Workbench are quite expensive. Workbench is especially costly because it supports multiple sessions, so there's a strategy to use it only during full-phase development, then switch ...
What needs improvement with Posit?
Posit lacks a smooth solution for the build and release pipeline. Its documentation is weak, which can make installation cumbersome for someone without terminal experience. Additionally, there 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 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 ...
 

Also Known As

No data available
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

Information Not Available
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 Posit vs. Tableau Enterprise and other solutions. Updated: September 2025.
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