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OpenText Intelligence vs Qlik Sense comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 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

OpenText Intelligence
Ranking in Data Visualization
25th
Average Rating
8.0
Reviews Sentiment
7.7
Number of Reviews
1
Ranking in other categories
BI (Business Intelligence) Tools (38th), Reporting (29th)
Qlik Sense
Ranking in Data Visualization
4th
Average Rating
8.6
Reviews Sentiment
6.3
Number of Reviews
125
Ranking in other categories
Embedded BI (2nd), AI Data Analysis (15th)
 

Mindshare comparison

As of March 2026, in the Data Visualization category, the mindshare of OpenText Intelligence is 1.5%, up from 0.3% compared to the previous year. The mindshare of Qlik Sense is 5.1%, down from 8.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Qlik Sense5.1%
OpenText Intelligence1.5%
Other93.4%
Data Visualization
 

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
SW
Solution Architect at Predoole Analytics
Unlocks actionable insights through user-friendly analysis features
The self-service capabilities that Qlik Sense offers are significant. They offer natural language processing, allowing users to ask questions in layman language, and Qlik Sense will create charts and narratives automatically. Users can access any dashboard developed in Qlik Sense from familiar portals such as Okta or other company portals through embedding features. The integration with chatbots, particularly Microsoft Teams, allows users to access dashboards and ask questions directly within Teams. The collaboration feature enables users to share analysis by taking snapshots and tagging team members within the Qlik Sense interface, eliminating the need for lengthy emails or screenshots. The storytelling feature allows users to create presentations directly in Qlik Sense using dashboard analysis, making it easier to answer questions during meetings. The subscription feature enables users to receive charts and sheets via email instead of navigating to the dashboard, facilitating monitoring purposes. Qlik Sense offers alerting capabilities where users can set thresholds for KPIs and receive notifications when these thresholds are reached. The platform also includes AI/ML features for predictive modeling through a no-code component, allowing business users to create and deploy AutoML models without depending on data scientists. The Qlik Answers component, featuring generative AI capability, enables users to get answers from unstructured data including Excel, HTML documents, or Microsoft Word documents by creating a knowledge base. The user-friendly interface operates on a drag-and-drop approach, with Qlik Sense suggesting appropriate charts based on selected dimensions and measures. The associative engine capabilities allow data association between tables, implementing selections across related tables. The platform uses a color-coding system (white, gray, and dark gray) to show related, excluded, and unrelated data selections, providing insights beyond traditional BI tools.

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."
"The drag and drop functionality provides an easy and fast development approach."
"The ETL component allows us to pull from many different sources, making pulling data in easy."
"It is a great product for people who don't need deep stats and have no programming background."
"We have found the use of AI to be the most valuable feature."
"The product is very stable."
"The solution is scalable."
"Self-service use of the desktop version with the ability to port applications into the server environment."
"The mapping capabilities within the GeoAnalytics extension have been a game changer."
 

Cons

"It needs to have better quality built in reports."
"Multi-server deployment: not just cloud, but on premise too, and hybrid. Needs lighter protocols to communicate between the different services and with the clients."
"I would like to see improvements in the Qlik Sense SaaS version, particularly in the front-end capabilities."
"There is an inability to effectively manage (pre)caching (scheduling, assigning for respective user groups, etc), especially without community extensions or uour own development."
"The use of APIs is not as friendly as it should be in the first place, especially when considering Python scripts and all other scripts, making it an area where improvements are required."
"I would like to more easily themed environments."
"I would like for it to be more of a plug and play with all of the tools and sources. It would make it much easier to use."
"More pivot table options, like the ability to have the totals row at the bottom of the table, would be helpful."
"Only when our usage outgrew our physical environment (server size) did we have stability issues."
 

Pricing and Cost Advice

Information not available
"I would rate Qlik's pricing four out of five."
"Understand the break over price point for switching to the Enterprise license."
"You need to pay 5,000 Norwegian kroner per user. Microsoft Power BI is slightly more expensive than Qlik Sense."
"I believe pricing is similar to other products in the same category, if you have it on-premise."
"The costs can initially become quite high. Make sure you have a clear understanding of who will truly use the product as opposed to someone that will simply receive the end report."
"It is the most expensive tool."
"Ultimately, the cost is low, and it implements fast. The limiting factor is how quickly your staff can keep up."
"Licensing can start to get expensive, but compared to other tools in this space it is about average."
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Top Industries

By visitors reading reviews
Comms Service Provider
12%
Insurance Company
10%
Media Company
7%
Financial Services Firm
7%
Financial Services Firm
17%
Manufacturing Company
10%
Computer Software Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business34
Midsize Enterprise40
Large Enterprise88
 

Questions from the Community

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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...
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...
What is your experience regarding pricing and costs for Qlik Sense?
It is not about performance. It is just about how expensive it is to implement.
 

Also Known As

OpenText Magellan Analytics Suite, BIRT iHub Visualization Platform, OpenText Actuate Information Hub
QlikSense, Qlik Analytics Platform
 

Overview

 

Sample Customers

Sasktel, NSBSL
Abbvie, Airbus, Barclays, BT Openreach, BMW, Daimler AG, HSBC, IKEA, Nationwide Building Society, Royal Mail Group, Sanofi, Siemens, Wendy'', Vodafone, Volvo
Find out what your peers are saying about Salesforce, Apache, Splunk and others in Data Visualization. Updated: February 2026.
884,873 professionals have used our research since 2012.