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Panther 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

Panther
Ranking in AI Data Analysis
29th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
3
Ranking in other categories
Security Information and Event Management (SIEM) (34th)
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 Panther is 0.4%. 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%
Panther0.4%
Other99.2%
AI Data Analysis
 

Featured Reviews

Narendran Nair - PeerSpot reviewer
Product Security Engineer at Infoblox
AI triage has streamlined real-time alert monitoring and has improved on-call incident response
The best features Panther offers are AI Triage, the ability to comment on our activities, and seamless integration with other communication sources such as PagerDuty, Microsoft Teams, and potentially Slack, showcasing the flexibility we have in using this tool. The most valuable feature for my team is definitely AI Triage, which helps save a lot of time by eliminating the need for manual research regarding patterns that may be repeated, making our work easier and more efficient. Panther has positively impacted my organization as it serves as one of the main sources for triaging real-time incidents. Panther definitely plays a key role in the work that we do. Specific outcomes that show how Panther has helped our organization include saving a lot of time, especially since the AI Triage feature reduces the necessity to reach out to others for clarity, which it occasionally accomplishes on its own. To be honest, it does lack some aspects. For example, if it could access our organizational knowledge, including the Jira database, it might better analyze incidents and determine whether they are false positives or not by using more contextual data.
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

"We have seen a return on investment measured primarily through SOC efficiency and productivity improvements, with teams observing a twenty to thirty-five percent improvement in investigation efficiency depending on the environment and product maturity."
"I find Panther's detection capabilities and integrations to be highly valuable."
"The AI Triage feature saves a considerable amount of time, and if it were to incorporate organizational knowledge, it could provide finer-tuned results."
"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."
"Using Qdrant's hybrid search capability has improved my search results."
"Qdrant is one of the best vector databases out there that is also open source."
"Qdrant is an excellent vector database that anyone would want to use with RAG AI."
"Qdrant has reduced our response time to less than one second for our 128 KB token sizes, and we are satisfied with that performance."
"Qdrant has positively impacted my organization by consuming much less time than building systems through coding."
"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 mainly by reducing usage costs for AI because in the older system, in order to get the context, we were just dumping everything into the system, which would inflate the cost of the API, whatever AI we were using, such as OpenAI or Claude."
 

Cons

"The solution could be improved by providing more built-in integrations, which would reduce the need for me to build them myself."
"Regarding Panther's accuracy and reliability of output, I would rate it at 70 percent since, at times, it identifies findings as valid when they may actually be false positives, which we have experienced in a few cases."
"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."
"Qdrant is pretty good overall, but it can be improved. For example, the UI could be better, and it has pretty much very generic features that every other vector database provides."
"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."
"Qdrant is available through a containerized Docker, but a normal deployment in Qdrant is not there, and that can actually be worked out."
"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 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."
"There can always be improvements needed for Qdrant, but I do not want to add anything at this time."
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Top Industries

By visitors reading reviews
Construction Company
14%
Manufacturing Company
14%
Financial Services Firm
7%
Comms Service Provider
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
No data available
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise1
 

Questions from the Community

What is your experience regarding pricing and costs for Panther?
I am not aware of the pricing, setup cost, and licensing details, as I handle the usage of Panther and not the setup process.
What needs improvement with Panther?
Panther could be improved by adding a feature that allows it to access organizational data, which would help produce better-tuned outputs with fewer false positives and alerts, making our jobs easi...
What is your primary use case for Panther?
My main use case for Panther is real-time monitoring of alerts, where we triage incidents that occur for our on-call duties. Panther is one of the major sources from which we receive alerts in real...
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

 

Overview

 

Sample Customers

Docker, Loom, Discord, Dropbox, HubSpot, Asana, GoFundMe, Zapier, Benchling, JupiterOne, Jumio, Bitstamp, Intercom, Randori, and Cedar
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 Panther vs. Qdrant and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.