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OpenText Intelligence 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

OpenText Intelligence
Ranking in BI (Business Intelligence) Tools
38th
Ranking in Reporting
29th
Ranking in Data Visualization
25th
Average Rating
8.0
Reviews Sentiment
7.7
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Tableau Enterprise
Ranking in BI (Business Intelligence) Tools
2nd
Ranking in Reporting
2nd
Ranking in Data Visualization
1st
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
309
Ranking in other categories
Embedded BI (1st)
 

Mindshare comparison

As of March 2026, in the BI (Business Intelligence) Tools category, the mindshare of OpenText Intelligence is 0.8%, up from 0.2% compared to the previous year. The mindshare of Tableau Enterprise is 6.7%, down from 18.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Tableau Enterprise6.7%
OpenText Intelligence0.8%
Other92.5%
BI (Business Intelligence) Tools
 

Featured Reviews

it_user220707 - PeerSpot reviewer
Director & Lead Consultant at a consultancy with 51-200 employees
The Briefing Book feature enables measures to be filtered and viewed based on different criteria by end users.
This software is targeted at executive users, not the data analysts who want to slice and dice. The software will not replace your BI tools, but it will sit nicely on top of a BI tool if you want management to have quick and easy access to performance data. Initiative Management Metrics Management – Key Interfaces
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

"It is a comprehensive solution for performance management, and yet it is easy to setup and easy to use, especially in comparison with Oracle, SAS, Hyperion and SAP."
"Customer Service: Good as there are various methods of finding answers and fixes."
"Data source integration – can integrate with almost every type of databases/data sources like text files (csv, txt), SQL, SSAS, Oracle, etc."
"It helps me deliver a tool to my clients that can be easily customized according to their business needs, and it provides great insights and analytics on huge volumes of data coming from disparate sources, which has helped my clients and managers make sound business decisions."
"It is a nice visual and high performance all-in-one BI tool which is becoming more popular with its ease of use and user-friendly features, effective visuals and apt major functionalities of BI."
"It's intuitive and highly mature"
"Since Tableau is on the cloud, we haven't faced any challenges around scalability."
"Tableau is a fantastic tool that provides impressive dashboards and customized reports."
"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."
 

Cons

"It needs to have better quality built in reports."
"It needs a more robust way to connect and share the big-data origin."
"Deployment is really easy and simple until and unless you get your hands on the Server-Worker Configuration setup. That is a bit tricky."
"Creating empty extracts is not easy."
"The ability to use it on MAC machines. As far as I know, this is not possible."
"Tableau is difficult to scale because of the cost, which makes it difficult to scale."
"The data processing in Tableau is pathetic compared to Qlik."
"Tableau's data modeling, mining, and AI library features need improvement."
"An area needing improvement involves the complexity of the product should you need to alter a lot of parameters. If you have technical servers, much interface, different providers and more serious processes, that will be time consuming."
 

Pricing and Cost Advice

Information not available
"Paying for users you never setup or buying expensive desktop licenses for users who can solve their users with web editing on the server are the two biggest expenses."
"Tableau's prices are relatively high for our market. I am from Serbia, so many companies in this market don't have the ability to pay for expensive software. My clients are quite satisfied with a lot of Tableau's qualities except for the prices."
"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."
"Tableau is free."
"Pricing could be better. I believe they should offer better pricing for deployment in small to mid-sized companies."
"For the use and the capability of the software, it's $70 per month, and that is quite inexpensive."
"I recommend that you discuss your needs with the salesperson and try to negotiate the price."
"The cost of the solution should be improved."
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Comparison Review

it_user6330 - PeerSpot reviewer
Product Manager at a retailer with 10,001+ employees
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
Comms Service Provider
12%
Insurance Company
10%
Media Company
7%
Financial Services Firm
7%
Financial Services Firm
13%
Computer Software Company
9%
Manufacturing Company
9%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise67
Large Enterprise184
 

Questions from the Community

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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

OpenText Magellan Analytics Suite, BIRT iHub Visualization Platform, OpenText Actuate Information Hub
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

Sasktel, NSBSL
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.
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