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Pros & Cons summary

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Prominent pros & cons

PROS

Qdrant significantly improved organizations' RAG systems by enhancing latency, cost-efficiency, and accuracy.
Qdrant's hybrid search and quantization capabilities improved search results and reduced cloud bills by 30% due to more efficient data storage.
Qdrant reduced response time to less than one second for 128 KB token sizes, improving performance satisfaction.
Qdrant provided a substantial increase in accuracy from 45-50% to 85-95%, elevating user satisfaction with superior scheme suggestions.
Qdrant lowered usage costs for AI, generating return on investment by saving engineering time and enabling self-service task empowerment.

CONS

Developer experience and native features are more limiting than performance.
Clustering capability in Qdrant is difficult to set up and configure, with room for improvement.
Inactive cloud expiration for projects occurs if not used for a week, causing frustration.
Absence of built-in role-based access control in Qdrant is a significant limitation.
Architectural complexity requires synchronization of separate systems for data management.
 

Qdrant Pros review quotes

Pawel Cislo - PeerSpot reviewer
MLOps Engineer at a tech services company with 501-1,000 employees
Aug 24, 2026
Qdrant has positively impacted my organization by significantly improving our RAG system's latency, cost-efficiency, and accuracy.
Chirag Morajkar - PeerSpot reviewer
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
May 4, 2026
Qdrant has positively impacted my organization by consuming much less time than building systems through coding.
Amrit Dash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
May 26, 2026
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.
Learn what your peers think about Qdrant. Get advice and tips from experienced pros sharing their opinions. Updated: September 2026.
913,683 professionals have used our research since 2012.
reviewer2848647 - PeerSpot reviewer
Product Engineer at a tech vendor with 11-50 employees
Jun 8, 2026
Qdrant is an excellent vector database that anyone would want to use with RAG AI.
China Venkanna Varma Ponnamanda - PeerSpot reviewer
Co Founder & CEO at SaYukth Private Limited
Apr 7, 2026
Qdrant has reduced our response time to less than one second for our 128 KB token sizes, and we are satisfied with that performance.
Adib M - PeerSpot reviewer
Founder at a tech vendor with 11-50 employees
Jul 4, 2026
Qdrant is one of the best vector databases out there that is also open source.
Mir Shahzad Mubeen - PeerSpot reviewer
CTO at Honeycomb AI
Jul 21, 2026
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.
Vedant Wani - PeerSpot reviewer
Analyst at Synergy Connect
May 18, 2026
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.
Uzair Faruqi - PeerSpot reviewer
Head Of Data Science at Mjunction Services
Aug 17, 2026
Qdrant is a good and scalable vector database, and it is free.
AT
Chief Ai Scientist at Predictive Systems
Feb 13, 2026
Using Qdrant's hybrid search capability has improved my search results.
 

Qdrant Cons review quotes

Pawel Cislo - PeerSpot reviewer
MLOps Engineer at a tech services company with 501-1,000 employees
Aug 24, 2026
The main limitations I notice come down to developer experience and native features rather than performance.
Chirag Morajkar - PeerSpot reviewer
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
May 4, 2026
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.
Amrit Dash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
May 26, 2026
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.
Learn what your peers think about Qdrant. Get advice and tips from experienced pros sharing their opinions. Updated: September 2026.
913,683 professionals have used our research since 2012.
reviewer2848647 - PeerSpot reviewer
Product Engineer at a tech vendor with 11-50 employees
Jun 8, 2026
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.
China Venkanna Varma Ponnamanda - PeerSpot reviewer
Co Founder & CEO at SaYukth Private Limited
Apr 7, 2026
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.
Adib M - PeerSpot reviewer
Founder at a tech vendor with 11-50 employees
Jul 4, 2026
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.
Mir Shahzad Mubeen - PeerSpot reviewer
CTO at Honeycomb AI
Jul 21, 2026
There can always be improvements needed for Qdrant, but I do not want to add anything at this time.
Vedant Wani - PeerSpot reviewer
Analyst at Synergy Connect
May 18, 2026
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.
Uzair Faruqi - PeerSpot reviewer
Head Of Data Science at Mjunction Services
Aug 17, 2026
Qdrant is available through a containerized Docker, but a normal deployment in Qdrant is not there, and that can actually be worked out.
AT
Chief Ai Scientist at Predictive Systems
Feb 13, 2026
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.