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Cyera 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

Cyera
Ranking in AI Data Analysis
15th
Average Rating
8.6
Reviews Sentiment
7.7
Number of Reviews
4
Ranking in other categories
Data Loss Prevention (DLP) (9th), Data Governance (23rd), Data Security Posture Management (DSPM) (9th), AI Security (11th)
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 Cyera is 0.8%, down from 18.7% 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%
Cyera0.8%
Other98.8%
AI Data Analysis
 

Featured Reviews

reviewer2795301 - PeerSpot reviewer
Vice President, Compliance at a manufacturing company with 1-10 employees
Data discovery has accelerated and now drives faster classification and compliance mapping
The best features Cyera offers include agentless discovery and sampling as well as AI ML-based classifications. I find myself relying on the sampling the most, which makes everything really fast, but also the auto-classification and ML-based functionalities. The main thing that stands out to me and my team about the features is the speed of integration and how fast it does the discovery on the data. Once it discovers the data, it also maps it back to a ton of compliance frameworks and best practices that I can use to operationalize. Cyera has positively impacted my organization by allowing me to identify the highest risk areas but also provide better classification of data, which then leads to better data pillar maturity. Cyera has accomplished all three outcomes: saving time, reducing risk, and improving compliance scores, as the speed at which it discovers data was significantly faster.
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.

Quotes from Members

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

Pros

"Cyera has positively impacted my organization by allowing me to identify the highest risk areas but also provide better classification of data, which then leads to better data pillar maturity."
"Cyera has an inbuilt set of policies implemented towards data security, especially cohering with Data Security Posture Management (DSPM)."
"The data discovery, data classification, and CSPM features are most valuable."
"I like how they model the data. They find data in different places that we didn't know, and they can give us a good idea if it's sensitive or not. They understand whether or not something is in the right region because, with the cloud posture management tool, we could see certain things in the infrastructure, but the way they dig into the data is what we like."
"Using Qdrant's hybrid search capability has improved my search results."
"Qdrant is an excellent vector database that anyone would want to use with RAG AI."
"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."
"Qdrant has reduced our response time to less than one second for our 128 KB token sizes, and we are satisfied with that performance."
"We saw a clear return on investment from Qdrant, particularly in the engineering time saved and the empowerment of team members to handle self-service tasks instead of reducing headcount."
"Qdrant has positively impacted my organization by consuming much less time than building systems through coding."
 

Cons

"The licensing initially was tricky because it is based on storage as well as user count."
"They need to add a few things in the UI from an enterprise perspective. It's more along the lines of being able to self-service, have integrations, build alerts, and things like that. Outside of that, they work with us on the API and getting alerts into our SIEM and things like that. There's always a way to do something, and they're always available, which is nice."
"As a startup company, there is a long way for them to go in terms of scalability."
"There is room for improvement in making Cyera more user-friendly. Some parts were difficult to navigate, especially for those new to the IT industry."
"Architectural complexity was a key friction point, as our primary database was set in Supabase, necessitating synchronization of two separate systems for user data, permissions, and states."
"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 lot of our work is agentic right now, and we have also segmented the content to be logical, so there's not a lot of vector search anymore."
"The file system lock in Qdrant prevents the API and scripts from hitting it directly, and to surpass this limitation, I have to run Qdrant client as a service, which incurs additional costs for running it continuously, so if something about that could be done, it would be really amazing."
"One of the key limitations is that Qdrant does not have built-in role-based access control, and while being self-hosted is a benefit, it can also be improved."
"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

"Compared to the competitors, they are very reasonable."
"I don't know how much exactly it costs, but I know that it's a yearly thing. It's something that will cost money for any company because they're storing all this information. They're doing all this machine learning, and there are a lot of services on their backend that they got to pay for. I'm sure it gets translated back to the customers unless you have everything completely on-prem. If you're not doing much in the cloud, then I could see how it'd be cheaper, but if you have anything that's cloud-hosted and does all the work for you, there's going to be a cost associated with it."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
11%
Healthcare Company
8%
Computer Software Company
8%
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
No data available
By reviewers
Company SizeCount
Small Business8
 

Questions from the Community

What is your experience regarding pricing and costs for Cyera ?
My experience with pricing, setup cost, and licensing for Cyera was that the licensing initially was tricky because it is based on storage as well as user count. I use Cyera to actually identify ho...
What needs improvement with Cyera ?
I think the area for improvement in Cyera is probably around integration, particularly with other platforms and third-party tools. For example, I see some integration areas with leading DLP solutio...
What is your primary use case for Cyera ?
My main use case for Cyera includes data visibility, data tagging, data classification, AI assessments, and policy governance, risk, and compliance policy. For data classification, I import structu...
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...
 

Comparisons

 

Overview

 

Sample Customers

Cyera's customers include the Chicago Board of Options Exchange (Cboe), Granicus, Takeda, LifeLabs, United Talent Agency, ACV Auctions, and Armis
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 Cyera vs. Qdrant and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.