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

Cohesity Data Cloud 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
3.3
Cohesity Data Cloud users reported cost savings, time efficiency, enhanced security, scalability, and improved ROI through simplified data management and reduced downtime.
Sentiment score
5.2
Qdrant's integration streamlined support ticket resolution, enhancing efficiency and cost-effectiveness through improved retrieval and self-service capabilities.
If I find myself stuck in a cyber recovery situation, this tool can help me avoid spending my money on ransom payments.
Technical Architect at a tech vendor with 10,001+ employees
The level of confidence that Cohesity Data Cloud delivers to the clients is worth that cost.
Senior Manager Advisory Services at Optimum Online (Cablevision Systems)
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
7.2
Cohesity Data Cloud customer service is responsive and reliable, though improvement is needed in legacy systems and issue resolution speed.
Sentiment score
5.4
Qdrant's community-driven approach provides ample online resources and documentation, minimizing direct customer support needs and enhancing satisfaction.
issues with Cohesity Data Cloud have not been encountered, suggesting a robust service.
Evangelist / CTO at fgnext
They need to work faster to meet client requirements, especially when business is affected.
Technical Lead at Cognizant
They probably upstaffed and made sure their knowledge was more up-to-date.
Owner at hq-12b
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
7.4
Cohesity Data Cloud offers seamless scalability and performance improvements, simplifying expansion with flexible resource adjustments and enhancing ROI.
Sentiment score
5.5
Qdrant's scalability in Docker enables efficient expansion and performance with multiple CPUs, attracting migrations from alternative solutions.
Scaling depends on subscription levels - when customers exceed their subscribed storage capacity, they can pay Cohesity to scale the resources.
Subject Matter Expert at Engage IT Services Pvt Ltd
There are no issues with scalability on the cloud end.
Technical Lead at Cognizant
It's easy to add additional nodes to a current existing cluster, making it quite easy to expand.
Owner at hq-12b
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
7.6
Cohesity Data Cloud is praised for reliability and efficiency, with stability rated exceptional despite minor hardware and support issues.
Sentiment score
7.7
Qdrant is stable, reliable, easy to use, but inactive clouds terminate after a week, affecting continuous hosting.
Compared to other tools, it is very efficient and simple to learn.
Technical Lead at Cognizant
I couldn't find anything negative about Cohesity Data Cloud specifically.
Sr. Engineer at a retailer with 501-1,000 employees
Cohesity Data Cloud is quite reliable.
Subject Matter Expert at Engage IT Services Pvt Ltd
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 Data Cloud users desire improved documentation, support, and integration, plus cost-effectiveness, security, and enhanced functionality for various needs.
Qdrant requires UI enhancements, improved backup management, and integrated automation to address operational complexities and improve features.
Issues such as ransomware protection and fixing vulnerabilities should be prioritized.
Sr. Engineer at a retailer with 501-1,000 employees
Cohesity Data Cloud scans backups by default for ransomware and malware, sending notifications if there are any security concerns or compromised systems.
Subject Matter Expert at Engage IT Services Pvt Ltd
The primary drawback is the need to transfer large amounts of data to the cloud via an internet connection, requiring significant bandwidth.
Evangelist / CTO at fgnext
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 Data Cloud offers value with strong security, structured pricing, and flexibility, despite higher costs than some competitors.
Qdrant offers cost-effective enterprise pricing but scaling may require migrating to paid plans for advanced features and support.
Cohesity Data Cloud is more costly in the long term compared to physical tapes.
Evangelist / CTO at fgnext
Comparatively, compared to IBM and Commvault, Cohesity Data Cloud offers the best deal for my environment.
Sr. Engineer at a retailer with 501-1,000 employees
All organizations are very interested in as-a-service model where they do not pay upfront cost, but they only get the services and pay for what they use as they use it.
Senior Manager Advisory Services at Optimum Online (Cablevision Systems)
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 Data Cloud provides scalable, secure data protection with efficient storage, easy integration, and comprehensive management for MSPs.
Qdrant enhances search precision using hybrid vectors, offers cost-effective deployment, and supports efficient AI handling with flexible APIs.
It replicates data to the cloud in a tamper-proof manner, offering protection against ransomware attacks since it is not under administrative control.
Evangelist / CTO at fgnext
They have a feature called DataSock, which enhances data protection.
Technical Architect at a tech vendor with 10,001+ employees
The initial deployment of Cohesity Data Cloud, from my experience, is easy.
Sr. Engineer at a retailer with 501-1,000 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
The best features of Qdrant are GPU support, which enables very fast processing, and a very light footprint as it uses fewer resources.
Co Founder & CEO at SaYukth Private Limited
 

Categories and Ranking

Cohesity Data Cloud
Ranking in AI Data Analysis
12th
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Backup and Recovery (18th), Cloud Backup (17th), Data Management Platforms (DMP) (7th)
Qdrant
Ranking in AI Data Analysis
11th
Average Rating
9.0
Reviews Sentiment
5.7
Number of Reviews
6
Ranking in other categories
Open Source Databases (9th), Vector Databases (4th)
 

Mindshare comparison

As of July 2026, in the AI Data Analysis category, the mindshare of Cohesity Data Cloud is 0.5%, down from 0.7% compared to the previous year. The mindshare of Qdrant is 0.4%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Qdrant0.4%
Cohesity Data Cloud0.5%
Other99.1%
AI Data Analysis
 

Featured Reviews

ME
Senior Manager Advisory Services at Optimum Online (Cablevision Systems)
Has provided strong data protection and unified access while streamlining backup operations
Cohesity Data Cloud is not unique in this area. There are a couple of other vendors who are playing in the same area. They provide some sort of isolation for the protected data that makes it very difficult, almost impossible to tamper with once it is stored on the platform. One of the major issues of ransomware attacks is that they happen in the background and it is too late after being hit. Giving a hard time for bad actors to access the data provides more immunity for your data from ransomware attacks. All organizations are very interested in as-a-service model where they do not pay upfront costs, but only get the services and pay for what they use. Converting from CapEx to OpEx is the ultimate goal for any financial manager in any organization. The model uses some sort of object storage for the backup data and contents, which gives a better level of safety than the traditional file system because normally the object storage is not subject to alteration. The only concern I have with cloud implementation is that if you have a presence on-premises, trying to use the cloud may become a performance challenge. It is a perfect situation for workloads that live in the cloud. The way I design things is we should not send data across the WAN to the cloud if it is a large volume that could potentially affect performance. A cloud solution is ideal for a cloud workload from Cohesity Data Cloud perspective. It is best to have some sort of local presence of a repository to do the backup using LAN performance. Then we can always send or upload the data to the cloud without impacting the actual backup window. Support for additional platforms and the option to do multi-tier performance would be beneficial. For example, if I have three types of workloads - SAP database, Oracle database, and SQL database - each with different backup window requirements, the ability to tier performance to meet these specific needs would be perfect for the actual workload and meeting the availability requirements of each application domain. The general perception is if it is not broken, do not fix it. In most cases, organizations do not see value for security until they are hit with something bad. With ever-increasing threats and risks of ransomware and data theft, the problem is becoming more obvious. Looking at what is happening in the market and seeing organizations being hit by security threats, the level of loss of services and client dissatisfaction makes security investment worthwhile. There is no real tangible ROI for security, but considering the potential of losing data forever or having it exposed unnecessarily to the market, it is worth the investment. The bad actors and risks are always reinventing themselves, so we must reinvent our security posture.
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.
902,894 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
16%
Financial Services Firm
14%
Construction Company
11%
Comms Service Provider
6%
Comms Service Provider
11%
Financial Services Firm
10%
Manufacturing Company
10%
Computer Software Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise7
By reviewers
Company SizeCount
Small Business8
 

Questions from the Community

What is your experience regarding pricing and costs for Cohesity DataPlatform?
All organizations are very interested in as-a-service model where they do not pay upfront cost, but they only get the services and pay for what they use as they use it. Converting from CapEx to OpE...
What needs improvement with Cohesity Imanis Data?
Cohesity Data Cloud is not unique in this area. There are a couple of other vendors who are playing in the same area. They provide some sort of isolation for the protected data that makes it very d...
What is your primary use case for Cohesity Imanis Data?
I have been in a relationship with Cohesity Data Cloud for more than five years now. I have used Helios in the past.
What is your experience regarding pricing and costs for Qdrant?
Licensing posed no issues, as Qdrant is open-source software with no upfront fees. Initially, the setup cost was low since we utilized a self-hosted model on a small cloud VM. However, as we added ...
What needs improvement with Qdrant?
While Qdrant is an exceptionally fast and efficient search engine within vector bases, our engineering team faced operational challenges during its adoption. Architectural complexity was a key fric...
What is your primary use case for Qdrant?
I have been using Qdrant for almost one and a half years. This was actually one of the first vector databases that we picked up in our organization. We started using the RAG modules to create a per...
 

Also Known As

Imanis Data, DataPlatform, Cohesity Helios
No data available
 

Overview

 

Sample Customers

Navis, 1st Security Bank, Brown University, WestLotto
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 Data Cloud vs. Qdrant and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.