
What is Qlik Sense?
Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. Built on Qlik鈥檚 unique Associative Engine, it supports a full range of users and use-cases across the life-cycle from data to insight 鈥 with self-service analytics, interactive dashboards, conversational analytics, custom and embedded analytics, mobile analytics, and reporting. The solution comes in three different editions - Qlik Sense Enterprise, Business, and Team. Qlik Sense can be deployed in the cloud or on-premises.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
87 Likeliness to Recommend
3
Since last award
100 Plan to Renew
85 Satisfaction of Cost Relative to Value
1
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+97 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Qlik Sense?
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Lineage
Data Monitoring and Administration
Business Context
Collaboration
APIs and Integration
Metadata Design
Automation of Metadata Creation
Business Rules and Event Management
Business Glossary
Hierarchy Management
Vendor Capability Ratings
Usability and Intuitiveness
Ease of Implementation
Business Value Created
Breadth of Features
Ease of Data Integration
Product Strategy and Rate of Improvement
Ease of IT Administration
Quality of Features
Availability and Quality of Training
Ease of Customization
Vendor Support
Also Featured in...
Business Intelligence & Analytics - Midmarket
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Business Intelligence & Analytics - Enterprise
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Qlik Sense Reviews

Dinesh N.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Sep 2025
Our whole team can finally use data.
Likeliness to Recommend
What differentiates Qlik Sense from other similar products?
Before, only our data analysts could create reports. Now, with qlik sense, our sales and marketing teams can create their own dashboards and explore the data themselves.
What is your favorite aspect of this product?
I love the self-service aspect. It has created a data-driven culture in our company. People are now asking better questions and making better decisions because they have access to the data.
What do you dislike most about this product?
The licensing cost per user can be quite high for a large team.
What recommendations would you give to someone considering this product?
If you want to empower your entire organization with data, this is the tool.
Pros
- Reliable
- Performance Enhancing
- Unique Features
- Effective Service
Cons
- Less Caring
- Less Efficient Service

Geetanand sagar E.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2025
Powerful Data Exploration with a Learning Curve
Likeliness to Recommend
What differentiates Qlik Sense from other similar products?
Qlik Sense stands out for its powerful associative data engine, which lets users explore data freely without being limited by predefined queries. It鈥檚 also known for strong self-service analytics, interactive dashboards, and smart AI-driven insights, making it easy for both technical and non-technical users to discover hidden trend's.
What is your favorite aspect of this product?
My favorite aspect of Qlik Sense is its associative data model鈥攊t lets you explore data in any direction without getting stuck in rigid hierarchies. You can instantly see how data points relate (or don鈥檛), which makes finding insights faster and more intuitive
What do you dislike most about this product?
The biggest downside of Qlik Sense is its steep learning curve for building complex data models and custom visualizations. While it鈥檚 great for end users, setting it up and customizing it deeply often requires skilled developers or consultants.
What recommendations would you give to someone considering this product?
Try the free version, get training, start with clear goals, and plan to scale as you grow.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing

Lalit P.
- Role: Information Technology
- Industry: Retail
- Involvement: Business Leader or Manager
Submitted Sep 2025
QlikSense capabilities for Business Intelligence
Likeliness to Recommend
What differentiates Qlik Sense from other similar products?
Qlik Sense stands out with its Associative Engine, allowing users to explore data freely without being limited to predefined queries. It offers powerful self-service visualization and governed data discovery in a single platform. Its scalability and hybrid deployment options make it adaptable for both small teams and large enterprises.
What is your favorite aspect of this product?
My favorite aspect of Qlik Sense is the Associative Engine, which lets you uncover hidden insights by exploring data in any direction, not just along predefined drill paths.
What do you dislike most about this product?
What I dislike most about Qlik Sense is that advanced features like write-back, version control, and some visualizations require third-party extensions, which can complicate maintenance and increase costs.
What recommendations would you give to someone considering this product?
I鈥檇 recommend clearly defining your data governance and security model before rollout to maximize trust in insights. Invest time in training users on the Associative Engine so they can fully leverage self-service exploration. Also, plan for extension management or integrations if you need advanced features beyond the out-of-the-box offering.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing