GitFounders
About Qdrant
Qdrant powers AI-driven applications with an open-source vector database built in Rust, offering exceptional performance for processing billions of vectors. Its advanced similarity search capabilities support recommendations, retrieval augmented generation, and anomaly detection. With simple Docker deployment and a lean API, Qdrant ensures ease of integration, scalability with horizontal and vertical scaling, and effortless management on managed, hybrid, or private cloud setups.
Key Features
- High-performance vector search and similarity matching
- Scalable, cloud-native architecture with zero-downtime upgrades
- Efficient storage with built-in compression and offloading options
- Seamless integration through Docker and a lightweight API
- Rust-powered reliability for handling billions of vectors
- Multiple deployment options including managed, hybrid, and private clouds
Pricing
Ideal for initial deployments and scaling production solutions with no upfront cost.
- ✓1GB free cluster
- ✓Fully managed service
- ✓Horizontal & vertical scaling
- ✓High availability and zero-downtime upgrades
Flexible deployment bridging on-premise and cloud solutions with cost-effective hourly pricing.
- ✓Bring your own cluster
- ✓Integration with any cloud provider or on-premise infrastructure
- ✓Managed cloud central cluster management
- ✓Standard support with upgrade options
Tailored for enterprises requiring enhanced security, data isolation, and custom configurations.
- ✓Full on-premise deployment
- ✓Maximized control and data sovereignty
- ✓Premium support options
- ✓Customizable infrastructure setup
Representation of core functionalities
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Summary
Qdrant delivers a next-generation vector database solution that enables advanced AI workflows with real-time vector search and analytics. Its efficient design, seamless deployment options, and robust performance make it a go-to choice for developers aiming to build powerful, data-driven applications.
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