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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
12th
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 August 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 15.4%, down from 19.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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."
"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."
"The on-premise version has quite good scalability."
"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"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 most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"From my perspective, it enables clients to better understand our data and make better decisions based on that information."
"It’s good for quick visualization and being able to quickly consume unstructured data to play around with."
"Tableau is an advanced specialized tool. One of the best features I've seen is the lack of an intermediate semantic layer. I think that's an advantage compared to any other tool like BusinessObjects or Power BI, which are Tableau's biggest competitors."
"It's very user-friendly. It's not like Power BI, Tableau is very user-friendly. Anybody can use Tableau. It's very easy to adopt things. I can visualize the stats."
"The ease of presenting findings is very helpful."
"You can create attractive dashboards that inform users using Tableau."
"Tableau has data relationships that can be applied to a data source which helps build out a directory which is helpful. Data blending has also been valuable to us."
"It is an excellent tool for data capture, processing, and visualization."
 

Cons

"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 general amount of negative comments that I am hearing from my team makes me very wary."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"I find that this is quite a heavy, time-consuming tool for developers."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"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."
"The integration with other program languages, like Python, needs to be better."
"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."
"There should be more GIS features, such as location analysis, which is quite limited. There are very few location-based functionalities."
"If they could add global filters in the stories, more chart types, and default colours, it would help."
"SAP BusinessObjects has some semantic layer designs that give the flexibility to do ad hoc reporting or dashboard designing. If that can be brought into Tableau, it would be great. We have the data in the database, but we should also be able to bring something between the database and the dashboard and do some semantic layer modeling for ad hoc reporting requirements."
"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."
"When we put more information on a single screen, it gets compressed and superimposed in many places while scrolling."
 

Pricing and Cost Advice

"The licensing cost is not excessively expensive, but it does increase with the addition of new features and modules."
"There is a license for this solution and we pay on an annual basis."
"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."
"Basically, we prefer a permanent license. A one-time charge is much better."
"The company chose to purchase a creator license for me, which was $70. With that license, you can also be an administrator. We also have 20-25 extra licenses and they cost around $20-$35 each. Those are for normal users who will be viewing the dashboards. Those are monthly charges."
"This license is on a yearly basis."
"At $70 per month, I think the price is a bit scary. I have a small consulting firm in Ghana, working in about 15 different African countries, and when it comes to our part of the world, $70 a month is a lot of money for software."
"Its licensing cost should be improved."
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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
11%
Computer Software Company
11%
Government
11%
Manufacturing Company
9%
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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: August 2025.
865,164 professionals have used our research since 2012.