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Qdrant 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
5.1
Qdrant reduces costs and enhances productivity with efficient integration, open-source benefits, and improved pipeline processing, despite database issues.
Sentiment score
6.1
Qlik Sense quickly enhances ROI through automation, cost savings, and improved business performance, relations, and operational efficiency.
Thanks to Qdrant's open-source nature, our initial licensing and setup costs were nearly zero, allowing for swift testing and launch of our RAG prototype.
Automation Engineer at a educational organization with 11-50 employees
The time saved is substantial, with nearly three weeks or more for projects deployed with Qdrant Cloud in no-code platforms.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
I have seen a significant return on investment from using Qdrant because it is very easy to integrate and highly efficient, saving a lot of time in my day-to-day operations, which ultimately saves money as well.
Product Engineer at a tech vendor with 11-50 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
4.3
Qdrant's open-source nature fosters effective community-driven support, with well-rated online resources addressing most user queries efficiently.
Sentiment score
5.3
Qlik Sense's community and customer service are appreciated, but technical support quality, response times, and costs receive mixed reviews.
It's open source, so we house it on our server.
Chief Ai Scientist at Predictive Systems
The documentation provided by Qdrant covers most queries effectively.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
I rate the technical support of Qdrant as a nine because I think we have never reached out to them directly, but Qdrant has good support available online, and I can get answers from forums.
Co Founder & CEO at SaYukth Private Limited
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
5.3
Qdrant offers efficient scalability and performance, effectively managing increased workloads and easily integrating with custom database services.
Sentiment score
7.6
Qlik Sense is scalable, managing large data volumes effectively, though costs rise with user licenses and resource requirements.
In the recruiting agency project, the reliance on the vector database has expanded from storing hundreds of resumes to thousands.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
When Qdrant is deployed in Docker, it scales really fast, and you can assign multiple CPUs to enhance performance.
Analyst at Synergy Connect
Qdrant handles growing workloads and data volumes well for me, which was a significant reason for my shift from other popular alternatives to Qdrant.
Product Engineer at a tech vendor with 11-50 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
7.8
Qdrant is praised for stability and ease of use, with minor update needs and efficient file lock system.
Sentiment score
7.6
Qlik Sense is praised for stability, with minimal crashes, reliable performance, and robust support even with large datasets.
You need to patch Qdrant as soon as patches are released.
Co Founder & CEO at SaYukth Private Limited
It is easy to use whether on LangChain or on its own.
Product Engineer at a tech vendor with 11-50 employees
Qdrant is stable, except for the limitation concerning the termination of inactive clouds after a week.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
The stability is very good.
Associate Director at a tech services company with 51-200 employees
 

Room For Improvement

Qdrant could improve with UI updates, better integration, simplified setup, enhanced clustering, and support for analytics and image vectorization.
Qlik Sense users seek improved data integration, user-friendliness, pricing clarity, and enhanced features for better collaboration and visualization.
Fast large-scale filtering operations could be implemented, such as automatic index suggestions, adaptive query planning, and smart indexing of metadata fields, which would make Qdrant even more efficient.
Product Engineer at a tech vendor with 11-50 employees
While it has clustering functionality, it is not easy to set up, and not everyone can configure the clustering, so there is room for improvement in the clustering configuration.
Co Founder & CEO at SaYukth Private Limited
Incorporating embedding features directly in Qdrant Cloud would eliminate the need to depend on external solutions.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 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

Qdrant's open-source model minimizes setup costs, though developer time and paid plans can increase expenses; Supabase offers savings.
Qlik Sense's enterprise pricing is higher, but cloud options offer cost-effectiveness and fast ROI with careful assessment necessary.
Using Qdrant is free.
Chief Ai Scientist at Predictive Systems
Regarding pricing, setup costs, and licensing, since I am using only the free tier of Qdrant Cloud, there are no setup costs involved.
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
Licensing posed no issues, as Qdrant is open-source software with no upfront fees.
Automation Engineer at a educational organization with 11-50 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

Qdrant excels with hybrid search, cost-efficient cloud, Python support, high-speed queries, and no-code deployment for user satisfaction.
Qlik Sense offers rapid performance, seamless data integration, user-friendly analytics, and AI insights with real-time exploration and collaboration.
The ability of Qdrant to handle high-dimensional vectors for my AI projects is pretty fast, and I think it's the best we have used so far.
Chief Ai Scientist at Predictive Systems
An accuracy boost was definitely observed from 45 to 50% using Faiss to around 85 to 95% using Qdrant, and the users are really happy as they are getting suggested really good schemes that would take a lot of time to find.
Analyst at Synergy Connect
Qdrant supports high-dimension vectors and cosine similarity, which any vector database should have, and it is pretty fast.
CTO at HoneyComb AI
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

Qdrant
Ranking in AI Data Analysis
10th
Average Rating
8.8
Reviews Sentiment
5.4
Number of Reviews
9
Ranking in other categories
Open Source Databases (8th), Vector Databases (4th)
Qlik Sense
Ranking in AI Data Analysis
16th
Average Rating
8.6
Reviews Sentiment
6.2
Number of Reviews
126
Ranking in other categories
Data Visualization (6th), Embedded BI (2nd)
 

Mindshare comparison

As of August 2026, in the AI Data Analysis category, the mindshare of Qdrant is 0.4%, down from 2.3% compared to the previous year. The mindshare of Qlik Sense is 0.4%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Qdrant0.4%
Qlik Sense0.4%
Other99.2%
AI Data Analysis
 

Featured Reviews

Chirag Morajkar - PeerSpot reviewer
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
Building accurate no-code resume screeners has saved weeks in document search workflows
I see room for improvement in Qdrant based on what another platform called Weaviate offers. Qdrant provides an excellent vector database with a solid searching method. However, it could elevate its offering by integrating embedding features. Currently, for the workflow automation I build, I rely on other platforms for embedding, so incorporating this feature directly in Qdrant Cloud would eliminate the need to depend on external solutions. A pain point I have encountered was the inactive expiration of the cloud created for certain projects. If the cloud is not used for a week, it gets terminated, which is frustrating. I think increasing that inactivity window in the free tier would be beneficial, as I have faced limitations due to this seven-day inactivity rule, requiring me to reset up the cloud after its termination.
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
Comms Service Provider
12%
Manufacturing Company
11%
Financial Services Firm
10%
Computer Software Company
9%
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 Business10
Midsize Enterprise1
By reviewers
Company SizeCount
Small Business34
Midsize Enterprise40
Large Enterprise89
 

Questions from the Community

What is your experience regarding pricing and costs for Qdrant?
My experience with pricing, setup cost, and licensing for Qdrant is that it is quite straightforward.
What needs improvement with Qdrant?
I would want Qdrant to support image vectorization, as I personally have that need within our organization, and since we have been using Qdrant for a while, it seems like a relevant feature to add....
What is your primary use case for Qdrant?
My main use case for Qdrant is as a vector database. As a vector database, I use Qdrant in a sequence and pipeline automation software that needs to look up information about certain items, each of...
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.
 

Comparisons

 

Also Known As

No data available
QlikSense, Qlik Analytics Platform
 

Overview

 

Sample Customers

1. Airbnb 2. Amazon 3. Apple 4. BMW 5.Cisco 6. CocaCola 7. Dell 8. Disney 9. Google 10. HP 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Heinz 15. L'Oreal 16. McDonalds 17. Merck 18. Microsoft 19. Nike20. Oracle 21. PG 22. PepsiCo 23. Procter and Gamble 24. Samsung 25. Shell 26. Sony 27. Toyota 28. Visa 29. Walmart 30. WeWork
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 Qdrant vs. Qlik Sense and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.