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Cohesity DataProtect 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
5.9
Cohesity DataProtect offers significant cost savings, faster ROI, simplified management, and effective ransomware recovery, enhancing resource efficiency.
Sentiment score
5.1
Qdrant reduces costs and enhances productivity with efficient integration, open-source benefits, and improved pipeline processing, despite database issues.
Using Cohesity DataProtect is easier to manage, and it simplifies various components into one architecture, reducing the need for extensive human resources to manage backups.
Evangelist / CTO at fgnext
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
7.5
Cohesity DataProtect's service is generally fast and competent, with some communication issues and regional effectiveness variations.
Sentiment score
4.3
Qdrant's open-source nature fosters effective community-driven support, with well-rated online resources addressing most user queries efficiently.
The support can depend on the region, and for larger customers, I advise having a Technical Account Manager for better assistance.
Evangelist / CTO at fgnext
For the support, I can provide a rating of four only because they initially provide some steps, but later say they are not sure, which is a problem in a production environment.
Specialist at HCLSoftware
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
7.5
Cohesity DataProtect is scalable and flexible, effectively managing large data volumes with its hyper-converged, scale-out architecture.
Sentiment score
5.3
Qdrant offers efficient scalability and performance, effectively managing increased workloads and easily integrating with custom database services.
Cohesity DataProtect is built on a scale-out architecture, which means it can effectively scale to meet various needs.
Evangelist / CTO at fgnext
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
7.7
Cohesity DataProtect is highly stable with efficient support, minimal downtime, and stability ratings of eight to ten.
Sentiment score
7.8
Qdrant is praised for stability and ease of use, with minor update needs and efficient file lock system.
On the whole, any problems were more related to hardware limitations rather than issues with Cohesity DataProtect itself.
Evangelist / CTO at fgnext
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

Cohesity DataProtect needs better reporting, compatibility, interface, automation, legacy support, and clearer communication for improved user experience.
Qdrant could improve with UI updates, better integration, simplified setup, enhanced clustering, and support for analytics and image vectorization.
The container functionality is very limited at the moment, not covering the whole container.
CIO at a consultancy with 51-200 employees
While there are improvements to be made, such as providing support for older systems like IBM iSeries and tandem systems from HP, the solution overall shifts from older methods to modern practices.
Evangelist / CTO at fgnext
There is room to improve the user interface of Cohesity DataProtect for more intuitive navigation.
Specialist at HCLSoftware
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

Cohesity DataProtect offers competitive, bundled pricing with discounts, emphasizing easy setup and value compared to competitors like Rubrik.
Qdrant's open-source model minimizes setup costs, though developer time and paid plans can increase expenses; Supabase offers savings.
I find Cohesity DataProtect to be expensive.
Technical Director at Procloud
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

Cohesity DataProtect offers ease of use, fast recovery, data deduplication, hybrid cloud support, and robust security features for efficiency.
Qdrant excels with hybrid search, cost-efficient cloud, Python support, high-speed queries, and no-code deployment for user satisfaction.
The platform is based on a scale-out architecture with each node having compute, RAM, SSD, and HDD.
Evangelist / CTO at fgnext
Global deduplication ensures that only unique data blocks are stored, significantly reducing storage consumption.
Specialist at HCLSoftware
The option to maintain evidence in Europe for regulatory compliance, the ability to maintain the backup with the same technology and same control plane, along with the same solutions to use backup solutions such as S3 or similar services in AWS, is what we are working with.
CIO at a consultancy with 51-200 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

Cohesity DataProtect
Ranking in AI Data Analysis
18th
Average Rating
9.0
Reviews Sentiment
7.2
Number of Reviews
77
Ranking in other categories
Backup and Recovery (12th), Cloud Backup (14th)
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 Cohesity DataProtect is 0.5%, down from 0.6% 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 (%)
Qdrant0.4%
Cohesity DataProtect0.5%
Other99.1%
AI Data Analysis
 

Featured Reviews

Kalaiarasan Meganathan - PeerSpot reviewer
Specialist at HCLSoftware
Backup operations have become faster and daily recoveries run smoothly for on‑prem workloads
When compared to other tools, the deduplication in Cohesity DataProtect is very fast, and the restore performance is better than other tools. Global deduplication ensures that only unique data blocks are stored, significantly reducing storage consumption. Cohesity DataProtect's dashboard displays options and errors clearly, making it easy to access and understand how to fix issues. Cohesity DataProtect's ability to start processes automatically without manual selections enhances its reliability. Cohesity DataProtect's architecture ensures that agent installations automatically reflect in the dashboard, allowing for seamless integration into backup jobs. This improves operational efficiency, ensuring backups can be triggered without manual refreshes. Additionally, the user interface is intuitive, and the respect of the N-1 rule during updates helps prevent client-affecting issues.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
9%
Construction Company
8%
Computer Software Company
7%
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 Business21
Midsize Enterprise22
Large Enterprise43
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise1
 

Questions from the Community

What needs improvement with Cohesity DataProtect?
There are several areas that have room for improvement, and I believe there are other aspects that could be enhanced as well.
What is your primary use case for Cohesity DataProtect?
I use Cohesity DataProtect for backup, analysis, and recovery purposes.
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...
 

Also Known As

Cohesity
No data available
 

Overview

 

Sample Customers

Tribune Media
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 Cohesity DataProtect vs. Qdrant and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.