No more typing reviews! Try our Samantha, our new voice AI agent.

Denodo vs Qdrant 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
6.5
Denodo boosts ROI by enabling rapid reporting, improving decision-making, and streamlining data integration for enhanced efficiency and customer satisfaction.
Sentiment score
5.1
Qdrant reduces costs and enhances productivity with efficient integration, open-source benefits, and improved pipeline processing, despite database issues.
It provides a positive return on investment for those who can connect multiple data sources and make data-driven decisions easily.
Information Technology Manager at Lockheed Martin
If you don't need to write a whole ETL to make the data virtualization, you need way fewer people to write a query instead of writing an ETL pipeline.
Senior Backend Engineer at a pharma/biotech company with 51-200 employees
I have seen a return on investment, which showed up in improved customer satisfaction scores.
Quality Engineering Lead at a logistics company with 51-200 employees
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
 

Customer Service

Sentiment score
6.9
Denodo support is responsive and helpful, but some users face delays in bug resolution and unfriendliness in the portal.
Sentiment score
4.3
Qdrant's open-source nature fosters effective community-driven support, with well-rated online resources addressing most user queries efficiently.
They have a good methodology for learning how to use the tool.
Data Architecture and Engineering Specialist at coprocenva
Denodo's customer support team is very competent and responsive.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
If we raise a ticket, it can be resolved or addressed within a reasonable time frame, so support is good.
Principal Architect at a manufacturing company with 10,001+ employees
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
 

Scalability Issues

Sentiment score
7.1
Denodo effectively scales across organizations, managing many users and data sources, but performance may vary with automation and configuration.
Sentiment score
5.3
Qdrant offers efficient scalability and performance, effectively managing increased workloads and easily integrating with custom database services.
For huge data requests, it cannot scale automatically; admin action is required.
Principal Architect at a manufacturing company with 10,001+ employees
Denodo's scalability comes into play specifically when there is data transfer.
Quality Engineering Lead at a logistics company with 51-200 employees
My client has almost 100 million records, and the performance was impacted in a way that required optimization.
Data Consultant at IT-Bots
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
 

Stability Issues

Sentiment score
7.0
Denodo is stable and reliable in production, with minor issues, praised for robustness but needs technical expertise for optimization.
Sentiment score
7.8
Qdrant is praised for stability and ease of use, with minor update needs and efficient file lock system.
I would rate it nine out of ten because it is very reliable, always performing as expected.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
If JVM does not function properly, it may cause Denodo to fail to connect to different sources.
Technology Leader at eTCaaS
Denodo is stable and good.
Data Engineer at a consultancy with 11-50 employees
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
 

Room For Improvement

Denodo should expand markets, improve UI and integration, address performance issues, and enhance support and documentation.
Qdrant could improve with UI updates, better integration, simplified setup, enhanced clustering, and support for analytics and image vectorization.
Ensuring data caching is up to date is critical.
Director Software Engineer at a computer software company with 10,001+ employees
Denodo needs better communication on how the product can be deployed for specific solutions.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
The system has dependencies on other environments, like JVM, which can affect its performance.
Technology Leader at eTCaaS
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
 

Setup Cost

Denodo pricing is high, suitable for larger enterprises, with variable costs and value-enhancing features, seen as fair by many.
Qdrant's open-source model minimizes setup costs, though developer time and paid plans can increase expenses; Supabase offers savings.
For small companies, it's not a solution that most small companies can afford.
Senior Backend Engineer at a pharma/biotech company with 51-200 employees
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
Denodo's pricing is not affordable for small companies and is more suitable for medium to large enterprises.
Technology Leader at eTCaaS
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
 

Valuable Features

Denodo excels in data integration, virtualization, governance, and scalability, enhancing user experience with API and query optimizations.
Qdrant excels with hybrid search, cost-efficient cloud, Python support, high-speed queries, and no-code deployment for user satisfaction.
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
Director Software Engineer at a computer software company with 10,001+ employees
The most valuable feature of Denodo is its uniformity of self-site data access types, which allows it to connect to almost any storage technology and feed it transparently.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
Denodo supports SQL base, so if you want to join two tables or two views, you can use SQL, which is an advantage as most developers or business people know SQL.
Principal Architect at a manufacturing company with 10,001+ employees
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
 

Categories and Ranking

Denodo
Ranking in AI Data Analysis
2nd
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
42
Ranking in other categories
Data Integration (8th), Data Virtualization (1st), Cloud Data Integration (8th), Data Management Platforms (DMP) (4th)
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)
 

Mindshare comparison

As of August 2026, in the AI Data Analysis category, the mindshare of Denodo is 0.7%, down from 3.7% compared to the previous year. The mindshare of Qdrant is 0.4%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Denodo0.7%
Qdrant0.4%
Other98.9%
AI Data Analysis
 

Featured Reviews

Patel-Dhulva - PeerSpot reviewer
Information Technology Manager at Lockheed Martin
Data virtualization has unified siloed sources and now supports real-time decisions
The best features Denodo offers stand out to me as the ability to develop REST web services fast and easily, create and combine new views, integrate different sources of data, and connect with other tools seamlessly. When I mention fast and easy creation of views and integration, I love the agile data provisioning and integration, where Denodo provides a comprehensive set of capabilities for implementing logical data integration, management, and delivery, which in turn enables agile data analytics and an informed decision-making process to be smooth. I also appreciate the performance optimization with AI, which improves performance optimization through the integration of artificial intelligence capabilities. Furthermore, I appreciate the unified security and governance, where it addresses the need for an organization to effectively manage security, data privacy, and data protection easily, offering a centralized platform that allows the application of governance policies and fine-grained security controls. Another feature I would add about Denodo is that it also provides a single point of control where we can establish security controls over the entire infrastructure and gain visibility into all our data assets. Denodo has positively impacted my organization as since we started using this tool, it has been very helpful because it is a huge advantage that we can connect to many different databases to provide data rapidly and accurately and also gain insights, which helps us to make data-driven decisions easily. It has proven to be a valuable environment for deploying data virtualization solutions, and its user community is active in finding and fixing issues more accurately. Through data insights from Denodo, we have been able to improve our decision making, which helps to better communication between the stakeholders thanks to the real-time experience. It also saves a lot of time.
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.
report
Use our free recommendation engine to learn which AI Data Analysis solutions are best for your needs.
909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
22%
Manufacturing Company
13%
Government
6%
Energy/Utilities Company
6%
Comms Service Provider
12%
Manufacturing Company
11%
Financial Services Firm
10%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise6
Large Enterprise20
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise1
 

Questions from the Community

Does Denodo provide useful data virtualization education? Is it useful to attend their training?
If you are a Denodo user, it makes sense to undergo their training. Different types of professionals can benefit from it, including administrators, developers, and architects. If you are keen on i...
In experience, what might Denodo be lacking or need improvement on?
I like Denodo a lot. It offers quick and easy web service deployment within minutes. There are not any flaws that I think make the product less good or effective. The only thing I can point out is...
Which industries can benefit from Denodo the most?
Denodo is suitable for pretty much all sectors that deal with: Big data Cloud solutions Data governance Logical data fabric Master data management In my opinion, organizations in different fields...
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...
 

Comparisons

 

Also Known As

Denodo for AWS
No data available
 

Overview

 

Sample Customers

Autodesk, VHA, AAA, Sumitomo Mitsui Trust Bank, Caterpillar, European Chemical Agency, Seagate, Nationwide, Time Warner Cable, Pantex, Inditex, BNSF Railways, Vodafone, CIT Group, Jazztel, Wolters Kluwer, Telefonica, TransAlta
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
Find out what your peers are saying about Denodo vs. Qdrant and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.