- 1GB free cluster
- No credit card required
- Fully managed with central cluster management
- Multiple cloud providers and regions (AWS, GCP, Azure)
- Horizontal & vertical scaling
- Central monitoring, log management and alerting
- High availability, auto-healing
- Backup & disaster recovery
- Zero-downtime upgrades
- Unlimited users
- Standard support and uptime SLAs
qdrant.io
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Qdrant is an Open-Source Vector Database and Search Engine written in Rust, offering fast and scalable vector similarity search services. Designed for high-performance vector data handling.
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Qdrant is an Open-Source Vector Database and Search Engine written in Rust, offering fast and scalable vector similarity search services. Designed for high-performance vector data handling.
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What is qdrant.io?
Qdrant is an Open-Source Vector Database and Search Engine built in Rust. It offers high-performance and scalable vector similarity search services. Qdrant provides efficient handling and searching of high-dimensional vector data, suitable for applications in AI and machine learning. The platform supports easy integration via API, making it a versatile tool for developers and data scientists looking to implement state-of-the-art vector search functionalities in their projects.
Who will use qdrant.io?
- Developers
- Data Scientists
- AI Researchers
- Machine Learning Engineers
- Tech Startups
How to use the qdrant.io?
- Step1: Visit the Qdrant website or documentation.
- Step2: Install Qdrant using the provided installation guides.
- Step3: Configure your vector database settings.
- Step4: Use the API to integrate Qdrant into your applications.
- Step5: Upload your vector data collections.
- Step6: Perform vector similarity searches using provided API methods.
- Step7: Monitor and manage your vector database.
Platform
- web
- mac
- windows
- linux
qdrant.io's Core Features & Benefits
The Core Features
- Open-Source
- Vector Database
- Vector Search Engine
- Built in Rust
- High Performance
- Scalable
- API Integration
The Benefits
- Fast similarity search
- Efficient handling of high-dimensional data
- Scalable architecture
- Easy integration
- Open-source flexibility
qdrant.io's Main Use Cases & Applications
- AI applications
- Machine learning projects
- Recommendation systems
- Image and video analysis
- Natural Language Processing (NLP)
- Data-driven insights
qdrant.io's Pros & Cons
The Pros
Open-source with strong community support and active development.
High-performance vector similarity search engine built in Rust for speed and reliability.
Supports scalable cloud-native deployments with zero-downtime upgrades.
Cost-efficient storage with built-in compression and quantization.
Integrates with major embedding models and AI frameworks.
Suitable for multiple AI use cases including semantic search, recommendation, RAG, and anomaly detection.
The Cons
No direct information on user interface or ease of use for non-developers.
Limited details on pricing tiers and enterprise support on main page.
No explicit mention of native mobile or desktop applications.
qdrant.io's Pricing
| Has free plan | YES |
|---|---|
| Free trial details | 1GB free forever cluster, no credit card required |
| Pricing model | Freemium |
| Is credit card required | No |
| Paid from | 0.014 USD |
| Has lifetime plan | No |
| Billing frequency | Hourly |
Details of Pricing Plan
Managed Cloud
0 USDHybrid Cloud
0.014 USD- Starting price per hour
- Bring your own cluster from any cloud provider, on-premise infrastructure, or edge locations
- All benefits of Qdrant Cloud
- Security, data isolation, optimal latency
- Managed Cloud Central Cluster Management
- Standard support and uptime SLAs
Private Cloud
Custom USD- Deploy fully on premise
- Maximum control and data sovereignty
- All benefits of Hybrid Cloud
- Security, data isolation, optimal latency
- Manage clusters on your infrastructure
- Premium Support Plan
FAQs of qdrant.io
qdrant.io Company Information
Analytic of qdrant.io
Visit Over Time
Monthly Visits
171.0k
Avg Visit Duration
00:03:42
Page Per Visit
6.93
Bounce Rate
28.07%
Sep 2025 - Nov 2025 All Traffic
Geography
Top 5 Regions
India
24.25%
United States
15.34%
Pakistan
5.81%
Italy
5.34%
Germany
5.03%
Sep 2025 - Nov 2025 Worldwide Desktop Only
Traffic Sources
Direct
37.95%
Search
33.40%
Referrals
26.29%
Social
1.59%
Paid Referrals
0.69%
Mail
0.07%
Sep 2025 - Nov 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| qdrant | 77.3k | $ 1.25 |
| qdrant cloud | 1.9k | $ 8.66 |
| cloud quadrant iop | 240 | $ -- |
| llama 3.0 release date | 100 | $ -- |
| qdrant pricing | 610 | $ -- |
qdrant.io Reviews
5/5
qdrant.io's Main Competitors and alternatives?
- Pinecone
- Milvus
- Weaviate
- FAISS
- Vespa
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