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Qdrant. Efficient, Scalable, Fast.
Built for Performance
With up to 4x RPS, Qdrant excels in delivering high-speed, efficient data processing, setting new benchmarks in vector database performance.
Benchmarks
Fully Managed
Experience seamless scalability and minimal operational overhead with Qdrant Cloud, designed for ease-of-use and reliability.
Qdrant Cloud
Run Anywhere
Qdrant’s Hybrid Cloud and Private Cloud solutions offer flexible deployment options for top-tier data protection.
Enterprise Solutions
Feature Overview
Built as a dedicated similarity search engine, Qdrant provides unique features to provide unparalleled performance and efficiency in managing your vector data workloads.
Advanced Compression
Scalar, Product, and unique Binary Quantization features significantly reduce memory usage and improve search performance (40x) for high-dimensional vectors.
Distributed, Cloud-Native Design
Managed cloud services on AWS, GCP, and Azure for scalable, maintenance-free vector search. Advanced sharding available.
Easy to Use API
Offers OpenAPI v3 specification for generating client libraries in almost any programming language.
Enterprise-grade Security
Includes robust access management, backup options, and disaster recovery. Dedicated Enterprise Solutions available.
Integrations
Qdrant supports a wide range of integrations for all leading embeddings and frameworks.
Multitenancy Support
Ability to segment a single collection for organized and efficient retrieval, data isolation, and privacy. Vital for applications needing distinct vector dataset management.
Memory Maps and IO Uring
Effective on-disk storage options and low level hardware optimization.
Fast and Precise Matching
Unparalleled speed and accuracy, powered by a bespoke modification of the HNSW algorithm for Approximate Nearest Neighbor Search.
Payloads & Advanced Filtering
Vector payload supports a large variety of data types and query conditions, including string matching, numerical ranges, geo-locations, and more.
Sparse Vector Support
Efficient handling of sparse vectors for enhanced text retrieval and memory-efficient data representation for high-dimensional data sets.
Qdrant Cloud is the fastest way to get started with Qdrant.
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Additional Resources
Documentation
Discover more about Qdrant by checking out our documentation for details on advanced features and functionalities.
Enterprise Solutions
For maximal control for production-ready applications Qdrant is available as a Hybrid Cloud and Private Cloud (Full On Premise) solution.
Benchmarks
Learn how Qdrant is designed to deliver the fastest and most accurate results and how it compares to alternatives in our benchmarks.
Pricing
Visit our pricing page for more details on Qdrant’s free tier, managed cloud, and enterprise plans.
Get started for free
Turn embeddings or neural network encoders into full-fledged applications for matching, searching, recommending, and more.
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