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Pyramid Analytics 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

Pyramid Analytics
Ranking in BI (Business Intelligence) Tools
15th
Ranking in Data Visualization
13th
Average Rating
7.6
Reviews Sentiment
6.4
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Tableau Enterprise
Ranking in BI (Business Intelligence) Tools
2nd
Ranking in Data Visualization
1st
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
307
Ranking in other categories
Reporting (2nd), Embedded BI (1st)
 

Mindshare comparison

As of September 2025, in the BI (Business Intelligence) Tools category, the mindshare of Pyramid Analytics is 0.9%, up from 0.7% compared to the previous year. The mindshare of Tableau Enterprise is 11.0%, down from 20.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Tableau Enterprise11.0%
Pyramid Analytics0.9%
Other88.1%
BI (Business Intelligence) Tools
 

Featured Reviews

Shyam Pendyala - PeerSpot reviewer
A comprehensive and user-friendly business intelligence for enhanced data insight
When developing multidimensional IMDS models in Pyramid Analytics, there is a need for better features to maintain and analyze data. The application currently lacks the ability to easily track the original physical table and field names, making it challenging to relate them to business names. It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields. Such features would simplify documentation, facilitate understanding of how calculations depend on physical fields and aid in explaining the development process to others. Having this lineage and easy-to-generate data dictionary would greatly enhance the usability of Pyramid Analytics for developers.
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

"It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data."
"It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI."
"Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources."
"The on-premise version has quite good scalability."
"It's the ease of use. It is also a self-service tool so it decreases the burden on having centralized IT-type teams or developers."
"It's a very good, flexible product, and it's easy to learn."
"The solution offers very good reporting."
"I love the customization skills that Tableau has, it is not restricted to what is built-in already."
"The use of a storyboard helps the flow of the data visualisation."
"We found Tableau has the quickest learning time out of the few other BI reporting tools that we have used."
"It is easy to adapt visualizers to have interactive conversations among decision-makers."
"Partner support is very good."
 

Cons

"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"I find that this is quite a heavy, time-consuming tool for developers."
"The general amount of negative comments that I am hearing from my team makes me very wary."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."
"There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard."
"The charting is overly complex in comparison with Power BI's"
"They need a write-back; that is what is missing. If they get the write back to the database, they will be fully automated, but for the time being, they are not."
"Its documentation can be improved so that a user can get a good hands-on experience. Tableau is well documented, and on their website, there are a lot of tutorials that are available for free. I started my learning process through those tutorials, but there are certain loopholes in those tutorials, which only got filled through a couple of good YouTube channels that talk about Tableau. YouTube helped me a lot. So, the documentation could be better, I understand that it is evolving day by day, and with more usage, there would be more such documentation."
"The setup was easy but we are having some problems with the configuration that is taking a long time. We have done some initial tests and some of the delays could be from bandwidth issues. However, the whole installation process should be simplified."
"Tableau is an end-to-end analytics platform, and it is doing a pretty good job in terms of connecting to the data and analyzing it. It can, however, do better in terms of data management and the ETL features, which are not on the advanced analytics or machine learning side. Tableau Prep is where users would want to see more advancements. They can improve Tableau Prep, which is an analytic platform tool for data cleansing. People who work with data spend most of their time curating the data. Cleaning up the data and getting it ready for analysis is what takes the most time. If Tableau can invest more time in improving the Tableau Prep platform, it would be great. Previously, Tableau didn't have the functionality for writing to a database. So, you couldn't really alter the database tables and write to your database, but they fixed that in one of the very recent releases. However, it isn't really advanced and should be improved."
"Tableau could be improved by introducing a data manipulation layer within the tool itself. Currently, data manipulations require using additional tools like Alteryx. If Tableau included these capabilities, it would reduce the need for external dependencies. The tool gets slower when we feed huge amounts of data."
"Tableau's integration with Einstein Analytics could be better."
"A strict security measure is needed. I believe it is weak in terms of security."
 

Pricing and Cost Advice

"The licensing cost is not excessively expensive, but it does increase with the addition of new features and modules."
"For data extraction and analysis, Tableau is better than any other tool I have used with the same pricing model."
"We always consider pricing when considering a new solution. We are a non-profit and price is a huge concern."
"The solution's licensing is based on user-basis. It depends on the business ROI it offers. It's not on the higher side or too cheap; it falls in the medium-cost range. The price is determined by user usage, so the cost will also increase as the number of users increases."
"I wish there was more of a subscription model with the pricing when it comes to Tableau, so you can get all the latest version upgrades/features if you pay monthly/annually."
"Basically, we prefer a permanent license. A one-time charge is much better."
"Tableau has core-based and user-based licensing, and it is tied to scalability. The core-based licensing is about you buying a certain number of cores, and there is no restriction on the number of users who can use Tableau. The restriction is only on the number of cores. In user-based subscription licensing, there is a restriction on the number of users. Big companies and government organizations with a lot of users typically go for core-based licensing. User-based subscription licensing is a more common model. It has user roles such as creator, explorer, and viewer. A creator is someone who does the groundwork or development work. An explorer is someone who is into middle management but is not technically savvy, such as a category head. A viewer is like a typical decision-maker in senior management. For each role, Tableau is priced differently. The viewer role has the minimum price, and the creator role has the highest price. This pricing is available on their website. Everybody can see it."
"Tableau has reasonable pricing."
"Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)"
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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
Financial Services Firm
12%
Computer Software Company
10%
Government
10%
Manufacturing Company
9%
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise1
Large Enterprise1
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise66
Large Enterprise182
 

Questions from the Community

What do you like most about Pyramid Analytics?
The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries.
What is your experience regarding pricing and costs for Pyramid Analytics?
I find the price of Pyramid Analytics to be quite reasonable, especially when compared to other tools in the industry. It is a cost-effective choice, particularly for mid-sized or larger companies ...
What needs improvement with Pyramid Analytics?
Pyramid Analytics could improve by speeding up data refresh, especially for large datasets. While it is currently an in-memory tool, efforts are underway to enhance direct connections to source sys...
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

US Department of Veterans Affair, Volkswagen, Siemens, Blackboard, Hallmark, Orange, CDW, LA Fitness, Atelier GS, Memorial Healthcare, Acadia Insurance, BancoBic, Advanced Learning, Microsoft, Drake University
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 Pyramid Analytics vs. Tableau Enterprise and other solutions. Updated: September 2025.
867,497 professionals have used our research since 2012.