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Qdrant Reviews

Vendor: Qdrant
4.5 out of 5

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Helped 896,298 peers since 2012

Featured Qdrant reviews

Qdrant mindshare

Product category:
As of May 2026, the mindshare of Qdrant in the Open Source Databases category stands at 4.3%, up from 3.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
Qdrant4.3%
PostgreSQL13.3%
MySQL10.5%
Other71.9%
Open Source Databases

PeerResearch reports based on Qdrant reviews

TypeTitleDate
CategoryOpen Source DatabasesMay 28, 2026Download
ProductReviews, tips, and advice from real usersMay 28, 2026Download
ComparisonQdrant vs PostgreSQLMay 28, 2026Download
ComparisonQdrant vs MySQLMay 28, 2026Download
ComparisonQdrant vs ClickHouseMay 28, 2026Download
Suggested products
TitleRatingMindshareRecommending
MySQL4.110.5%91%152 interviewsAdd to research
PostgreSQL4.213.3%96%127 interviewsAdd to research
 
 
Key learnings from peers
Last updated May 24, 2026

Valuable Features

Room for Improvement

Popular Use Cases

Top industries

By visitors reading reviews
Comms Service Provider
11%
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
8%
Government
6%
Construction Company
6%
Outsourcing Company
5%
Educational Organization
5%
University
5%
Retailer
4%
Media Company
4%
Healthcare Company
4%
Energy/Utilities Company
3%
Real Estate/Law Firm
2%
Pharma/Biotech Company
2%
Wholesaler/Distributor
2%
Hospitality Company
2%
Legal Firm
2%
Non Profit
1%
Transportation Company
1%
Recreational Facilities/Services Company
1%
Performing Arts
1%
Agriculture
1%
Insurance Company
1%
Renewables & Environment Company
1%
Leisure / Travel Company
1%

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Qdrant customers

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Qdrant Reviews Summary
Author infoRatingReview Summary
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 1-10 employees4.5I effectively leveraged Qdrant, particularly Qdrant Cloud, for RAG chatbots and no-code automation, significantly reducing development time. Its HNSW search provides high accuracy and scalability, proving superior to other solutions. While inactive clouds terminate quickly, Qdrant offers excellent value and performance.
Automation Engineer at a educational organization with 11-50 employees4.0I used Qdrant for RAG, valuing its speed, filtering, and open-source nature for developer velocity. Operational complexities from dual database management, particularly with Supabase, eventually led me to switch to an integrated vector solution.
Co Founder & CEO at SaYukth Private Limited4.5I value Qdrant for AI data analysis, highlighting its GPU support, light footprint, and fast response times. Despite complex clustering, its open-source nature and strong vector capabilities make it a reliable enterprise solution.
AI/ML Intern at a tech vendor with 51-200 employees4.5I use Qdrant for vector search in my prediction engine, valuing its simplicity, hybrid search, and Python client. It significantly boosted accuracy from 50% to 95% over Faiss. My main concern is a file system lock requiring a Docker service.
Chief Ai Scientist at Predictive Systems5.0I’ve used Qdrant on‑prem for two years in legal and educational work; its sample code, easy setup, and fast hybrid, high‑dimensional vector search improved results. Support is community-based but sufficient. I switched from Faiss and rate it 9/10.