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Plotly Dash Enterprise vs Qlik Sense comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
4.7
Plotly Dash Enterprise boosts efficiency by automating processes, reducing development time, and enabling quicker decision-making with fewer resources.
Sentiment score
6.1
Qlik Sense quickly enhances ROI through automation, cost savings, and improved business performance, relations, and operational efficiency.
Ad-hoc analyses that used to take days have been reduced significantly, with one case where the team saved seven to ten days per month.
Azure Data Engineer at a tech services company with 11-50 employees
My team moved from a six-month dev cycle to two weeks.
Data Scientist at a university with 11-50 employees
Using Plotly Dash Enterprise built automated portals connected directly to localized storage saves time to insight—dropping it to under five minutes—and saves engineers hundreds of hours annually.
Research Assistant - HMI Researcher/ Designer at a university with 10,001+ employees
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
Director Software Engineer at a computer software company with 10,001+ employees
 

Customer Service

Sentiment score
5.1
Plotly Dash Enterprise's support is commendable, with effective documentation, forums, and responsive teams providing helpful solutions.
Sentiment score
5.3
Qlik Sense's community and customer service are appreciated, but technical support quality, response times, and costs receive mixed reviews.
They assist with installation, deployment, performance tuning, scalable architecture, and troubleshooting, which are valuable for initial setups and production-ready configurations.
Azure Data Engineer at a tech services company with 11-50 employees
Unlike many software companies where the first line of support is non-technical, Plotly splits it into two expert groups: Install Infra group and Solution group.
Data Scientist at a university with 11-50 employees
I have noticed specific outcomes from using Plotly Dash Enterprise.
Product Engineer at a program development consultancy with 1-10 employees
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
Director Software Engineer at a computer software company with 10,001+ employees
Technical support requires improvement.
Associate Director at a tech services company with 51-200 employees
In Turkey, the consultant firms are very professional, and they support you.
Business Intelligence Architect at a financial services firm with 5,001-10,000 employees
 

Scalability Issues

Sentiment score
4.9
Plotly Dash Enterprise scales well, supports many users, integrates with Kubernetes, and excels with optimization, despite large dataset challenges.
Sentiment score
7.6
Qlik Sense is scalable, managing large data volumes effectively, though costs rise with user licenses and resource requirements.
We can scale by adding more instances to handle multiple users efficiently, with the ability to support hundreds to thousands of users with proper backend performance control.
Azure Data Engineer at a tech services company with 11-50 employees
For infrastructure scalability, we are thinking about Docker or Kubernetes while also utilizing Redis for a shared state, making auto-scaling based on CPU or RAM usage available.
Software Developer at a tech vendor with 10,001+ employees
Plotly Dash Enterprise provides a strong foundation for scalability, but the real performance comes from combining the platform with a good design system.
student at a university with 5,001-10,000 employees
It performs well in terms of performance and load compared to others.
Associate Director at a tech services company with 51-200 employees
Qlik Sense helps analyze data and can handle larger amounts of data compared to other BI tools.
Solution Architect at Predoole Analytics
It is easily scalable with Microsoft, with other services Azure and other tools they provide.
student at a educational organization with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.9
Plotly Dash Enterprise is stable, handling projects well, with minor issues on large data, rated 7-8/10 for stability.
Sentiment score
7.6
Qlik Sense is praised for stability, with minimal crashes, reliable performance, and robust support even with large datasets.
It allows us to build, design, and deploy production-grade applications independently in Python.
Data Scientist at a healthcare company with 501-1,000 employees
Plotly Dash Enterprise is stable.
Booking Analyst at a financial services firm with 501-1,000 employees
Plotly Dash Enterprise is stable in my experience, being reliable for implementation and deployment to production.
Software Developer at a retailer with 51-200 employees
The stability is very good.
Associate Director at a tech services company with 51-200 employees
 

Room For Improvement

Plotly Dash Enterprise users seek better modular callbacks, faster prototyping, enhanced customization, real-time data, and improved documentation.
Qlik Sense users seek improved data integration, user-friendliness, pricing clarity, and enhanced features for better collaboration and visualization.
A more guided user interface and low-code features would help with onboarding for beginners and non-technical users, making the platform more accessible.
Azure Data Engineer at a tech services company with 11-50 employees
There should be a focus on mobile responsiveness and shifting from standard CSS to Dash Mantine Components and Dash Bootstrap while utilizing grid systems for large data bottlenecks.
Software Developer at a tech vendor with 10,001+ employees
I wish for features such as auto detection of data and auto analysis to be included.
Student at a university with 51-200 employees
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
Business Intelligence Architect at a financial services firm with 5,001-10,000 employees
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
Director Software Engineer at a computer software company with 10,001+ employees
There should be more comprehensive documentation and explanatory videos available to help clients understand and calculate capacity-based pricing, making it easier to predict costs before implementing Qlik Sense Cloud.
Solution Architect at Predoole Analytics
 

Setup Cost

Plotly Dash Enterprise pricing varies by user count and support, offering valuable features, especially for larger teams.
Qlik Sense's enterprise pricing is higher, but cloud options offer cost-effectiveness and fast ROI with careful assessment necessary.
The cost can be significant, such as tens of thousands per year, but it includes features such as security, deployment, and support, which justifies it for a larger team.
Operations Analyst at a non-profit with 51-200 employees
The enterprise price can reach around one hundred thousand dollars per year, varying according to organizational size.
Azure Data Engineer at a tech services company with 11-50 employees
The setup cost was nothing and is fine.
Product Engineer at a program development consultancy with 1-10 employees
It is just about how expensive it is to implement.
student at a educational organization with 1,001-5,000 employees
Compared to Power BI, it is definitely costly.
Associate Director at a tech services company with 51-200 employees
Among the BI tools and data analytics tools, Qlik is the most expensive.
Business Intelligence Architect at a financial services firm with 5,001-10,000 employees
 

Valuable Features

Plotly Dash Enterprise enhances app development efficiency with Python integration, customizable dashboards, and cost-saving scalability tools.
Qlik Sense offers rapid performance, seamless data integration, user-friendly analytics, and AI insights with real-time exploration and collaboration.
The built-in handling of Kubernetes and Docker in Plotly Dash Enterprise makes our workflow easier because we only need to configure the dashboard once on how the data should look.
Professional Sd at a university with 10,001+ employees
The control access feature helps my team by using authentication code, so we can ensure only the people who should have access can view the dashboard.
Sr Data Analyst at a retailer with 10,001+ employees
The centralized data platform holds dashboards and supports version control and app management, along with interactive capabilities such as KPIs and data pipelines connecting databases, ETL systems, and ML models, fitting well into modern data stacks.
Azure Data Engineer at a tech services company with 11-50 employees
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
Director Software Engineer at a computer software company with 10,001+ employees
The true power is in the ability to connect with any database, get the data, and work with the data.
Director at a consultancy with 1,001-5,000 employees
Real-time data analysis can be performed, and collaboration with other team members is seamless.
Project Engineer at Wipro
 

Categories and Ranking

Plotly Dash Enterprise
Average Rating
8.2
Reviews Sentiment
5.2
Number of Reviews
41
Ranking in other categories
Reporting (3rd)
Qlik Sense
Average Rating
8.6
Reviews Sentiment
6.2
Number of Reviews
126
Ranking in other categories
Data Visualization (6th), Embedded BI (2nd), AI Data Analysis (16th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Plotly Dash Enterprise is designed for Reporting and holds a mindshare of 1.5%, up 1.3% compared to last year.
Qlik Sense, on the other hand, focuses on Data Visualization, holds 4.9% mindshare, down 8.4% since last year.
Reporting Mindshare Distribution
ProductMindshare (%)
Plotly Dash Enterprise1.5%
Tableau Enterprise13.9%
Microsoft Power BI12.9%
Other71.7%
Reporting
Data Visualization Mindshare Distribution
ProductMindshare (%)
Qlik Sense4.9%
Tableau Enterprise9.5%
Domo3.8%
Other81.8%
Data Visualization
 

Featured Reviews

reviewer2835996 - PeerSpot reviewer
Operations Analyst at a non-profit with 51-200 employees
Interactive dashboards have transformed reporting and now speed up team decision making
One area where Plotly Dash Enterprise can be improved is the learning curve for beginners. It can take time to understand the callbacks and app structures. Debugging can sometimes be tricky, especially for complex apps. Improving documentation and providing more built-in templates or examples would make it easier for new users to get started. Another improvement could be around performance optimization in Plotly. For example, with a large dataset, a dashboard can sometimes become slow. Better built-in support for handling big data efficiently would help. Additionally, smoother integration with other data tools and cloud services would make it easier to fit into different tech stacks.
Saranya Deepthi - PeerSpot reviewer
Project Engineer at Wipro
Improved AI-driven dashboards have accelerated decisions but still need better visuals and faster refresh
Absolutely, nothing is entirely positive, and everything has both advantages and disadvantages. When I worked with Qlik Sense, circular charts were not available, which meant I had to look for alternative solutions that would be reliable or make the functionality work. There are some features that need to be added. Additionally, there is a limit to the number of fields that can be added in Qlik Sense, and I believe it would be beneficial if they increased the count for fields and columns. There might be requirements where an Excel file contains many columns that need to be displayed as visual representations to clients, and in those situations, it becomes very difficult and I have to use alternative approaches. When this problem arose, I used HTML code to write a solution and make it work. Qlik Sense should avoid these types of limitations in future updates. Another issue is page resolution. If a client wants to view the dashboard on a single page without scrolling, bar charts appear small and the values in KPIs, bar charts, scatter plots, and line graphs cannot be seen very clearly. Adding more extensions to make the job easier would also be beneficial. Improvements to reporting would be helpful as well, because working with large datasets makes reporting very difficult. Additionally, when data is refreshed, it cannot be completed in a short timeframe. Refreshing very large datasets can take one, two, or even three hours, so reducing the refresh time would be very useful for customers.
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Top Industries

By visitors reading reviews
University
21%
Outsourcing Company
14%
Manufacturing Company
11%
Computer Software Company
6%
Financial Services Firm
18%
Construction Company
9%
Manufacturing Company
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise4
Large Enterprise21
By reviewers
Company SizeCount
Small Business34
Midsize Enterprise40
Large Enterprise89
 

Questions from the Community

What is your experience regarding pricing and costs for Plotly?
I find the pricing of Plotly Dash Enterprise to be reasonable.
What needs improvement with Plotly?
The problem with Plotly Dash Enterprise is that it often suffers from callback hell because an output can only be targeted by a single callback in standard architecture, causing developers to write...
What is your primary use case for Plotly?
My main use case for Plotly Dash Enterprise involves production in a Python platform that empowers data teams to build, scale, and deploy interactive analytics and AI-driven data applications direc...
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

No data available
QlikSense, Qlik Analytics Platform
 

Overview

 

Sample Customers

Google, Goji, VIT, Smpl Bio, U.S. Air Force, C12 Energy, New York University
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 Microsoft, Salesforce, Plotly and others in Reporting. Updated: July 2026.
908,800 professionals have used our research since 2012.