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Qdrant vs VictoriaMetrics 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

Qdrant
Ranking in Open Source Databases
9th
Average Rating
9.0
Reviews Sentiment
5.7
Number of Reviews
6
Ranking in other categories
Vector Databases (3rd), AI Data Analysis (12th)
VictoriaMetrics
Ranking in Open Source Databases
16th
Average Rating
9.0
Reviews Sentiment
7.3
Number of Reviews
2
Ranking in other categories
IT Infrastructure Monitoring (45th)
 

Mindshare comparison

As of June 2026, in the Open Source Databases category, the mindshare of Qdrant is 4.5%, up from 3.5% compared to the previous year. The mindshare of VictoriaMetrics is 1.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
Qdrant4.5%
VictoriaMetrics1.7%
Other93.8%
Open Source Databases
 

Featured Reviews

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.
YS
Site Reliability Engineer at a tech vendor with 5,001-10,000 employees
High-performance monitoring has reduced costs and now supports long-term observability
Overall, VictoriaMetrics is a very strong tool. One area for improvement is documentation and learning resources. While the documentation is good, some advanced use cases and configuration could be explained more clearly with real-world examples. Another improvement would be the UI and built-in visualization. VictoriaMetrics mainly relies on tools like Grafana, so having a more feature-rich native UI for basic monitoring and exploration would be helpful. On the integration side, while it works great with Prometheus and Grafana, expanding native integration with more tools like CI/CD platforms, alerting systems, and cloud-native services would be beneficial. In terms of support and troubleshooting, having more built-in diagnostics or guided debugging tools would be helpful. Right now, when issues happen, it often relies on logs and external tools. Also, for enterprise usage, strong features like RBAC, audit logs, and multi-tenant management would be enhanced. The improvements would include UI and built-in visualization. Also, query complexity can be a bit challenging for new users. Simplifying it or providing better guidance for query building would improve usability. Finally, enterprise features and ecosystem integration could be expanded further.

Quotes from Members

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

Pros

"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."
"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."
"Qdrant has reduced our response time to less than one second for our 128 KB token sizes, and we are satisfied with that performance."
"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."
"We observed that RAM was reduced by around 70% and disk usage by 75%, while write speed increased 3x and query per second P95 latency became 7x faster."
"VictoriaMetrics is an excellent solution for time-series monitoring with outstanding performance."
 

Cons

"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."
"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."
"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 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."
"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."
"The main area that needs improvement in VictoriaMetrics is the documentation itself, as the support is adequate and the open-source project does provide replies within one to two days."
"One area for improvement is documentation and learning resources."
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Top Industries

By visitors reading reviews
Comms Service Provider
11%
Financial Services Firm
11%
Manufacturing Company
10%
Computer Software Company
9%
Financial Services Firm
18%
Comms Service Provider
11%
Outsourcing Company
9%
Transportation Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
No data available
 

Questions from the Community

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...
What is your experience regarding pricing and costs for VictoriaMetrics?
The pricing was very good as I am following a subscription-based model. As of now, I have a better dashboard to view my monthly and yearly bills. It is very helpful to reallocate my budget to accom...
What needs improvement with VictoriaMetrics?
Overall, VictoriaMetrics is a very strong tool. One area for improvement is documentation and learning resources. While the documentation is good, some advanced use cases and configuration could be...
What is your primary use case for VictoriaMetrics?
My main use case is storing and querying the time-series metrics for monitoring and observability. I primarily use it as a high-performance back end for Prometheus, where it handles large volumes o...
 

Comparisons

 

Overview

 

Sample Customers

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
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Find out what your peers are saying about Qdrant vs. VictoriaMetrics and other solutions. Updated: June 2026.
899,324 professionals have used our research since 2012.