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

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:
 

Categories and Ranking

Cohesity DataProtect
Ranking in AI Data Analysis
14th
Average Rating
9.0
Reviews Sentiment
7.2
Number of Reviews
76
Ranking in other categories
Backup and Recovery (12th), Cloud Backup (13th)
Qdrant
Ranking in AI Data Analysis
18th
Average Rating
9.4
Reviews Sentiment
5.3
Number of Reviews
3
Ranking in other categories
Open Source Databases (11th), Vector Databases (5th)
 

Mindshare comparison

As of May 2026, in the AI Data Analysis category, the mindshare of Cohesity DataProtect is 0.5%, up from 0.4% compared to the previous year. The mindshare of Qdrant is 0.5%, down from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Cohesity DataProtect0.5%
Qdrant0.5%
Other99.0%
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.
CC
Lead Ai Tech And Tech Automation Engineer at CleanFoldz Laundry
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.

Quotes from Members

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

Pros

"The implementation and training are all done through the sales engineer, which provides for a seamless and great experience when it comes to starting with a new vendor."
"The change has been night and day."
"We love the near-instant recovery windows, as well as the ability to sync our latest backups to Amazon Web Services for offsite DR."
"We like that we can use production data to run intensive reports that would otherwise bog down the production server."
"It is a relatively complete solution."
"Considering the organization wouldn’t exist any longer without Cohesity, I would say it was worth it."
"Cohesity has very simple reports to help you stay in the know of which servers are being backed up or not."
"The four independent node cluster architecture is redundant. It maintains data integrity and load balancing."
"Using Qdrant's hybrid search capability has improved my search results."
"Qdrant has positively impacted my organization by consuming much less time than building systems through coding."
"Qdrant has reduced our response time to less than one second for our 128 KB token sizes, and we are satisfied with that performance."
 

Cons

"In terms of what could be improved, their UI requires a manual refresh. It doesn't seem like it updates itself sometimes when you're moving from screens or waiting for a change to take effect, so you have to manually refresh."
"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."
"For Oracle DBs, we have observed a few bugs."
"Currently, the product is lacking some features like BMR and backup for the cluster, but I think these are things that would be added in a few months."
"The solution has a more complex setup than Veritas and Veeam."
"I would like to see Cohesity have the ability to do a file level restore from a Windows server, which is storing data on dynamic disk."
"Reporting is one area that isn't as robust as it could be."
"When a new release is launched, there may be some bugs that need to be addressed by the developers. However, they promptly resolve these issues, and the software runs smoothly once again."
"The area for improvement in Qdrant is its clustering capability. 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."
"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."
 

Pricing and Cost Advice

"Licensing is per node and per protected terabyte. You will also pay 10-15% annually for support."
"Pricing, setup costs, etc. are pretty typical. The initial cost for Cohesity was less than other products the we evaluated. Cohesity's pricing does offer benefits as DR target costs are less than other solutions. You are not charged for DataProtect licensing for target DR data consumption."
"It has reasonable pricing, and we know they can give discounts. If you look at the primary pricing or the list pricing, it conforms to the market pricing, but you have to have a discount on it. Otherwise, it is way too expensive."
"My advice is to always negotiate for better pricing."
"I expect the system to probably pay off within the first two years."
"The solution's pricing is quite high, more so than that of its competitors, Veeam, Veritas and Rubrik."
"There is monthly licensing."
"The solution's pricing is in the mid-range, where it's neither costly nor cheap."
Information not available
report
Use our free recommendation engine to learn which AI Data Analysis solutions are best for your needs.
894,738 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
9%
Computer Software Company
9%
Healthcare Company
6%
Financial Services Firm
11%
Comms Service Provider
11%
Computer Software Company
10%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise22
Large Enterprise43
No data available
 

Questions from the Community

What needs improvement with Cohesity DataProtect?
I want to improve the possibilities of the solution for containers and the mobility of containers. The container functionality is very limited at the moment, not covering the whole container. I rat...
What is your primary use case for Cohesity DataProtect?
Cohesity DataProtect is usually recommended for bank companies, insurance companies, and other energy companies. We are working with several of these types of companies, and all of them have Cohesi...
What is your experience regarding pricing and costs for Qdrant?
Using Qdrant is free. We house it and have a VM where we just installed it on the VM.
What needs improvement with Qdrant?
The area for improvement in Qdrant is its clustering capability. While it has clustering functionality, it is not easy to set up, and not everyone can configure the clustering, so there is room for...
What is your primary use case for Qdrant?
Our use case for Qdrant is AI data analysis.
 

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: April 2026.
894,738 professionals have used our research since 2012.