Sold by: Qdrant
Deployed on AWS
Qdrant is an open-source and fully managed high-performance Vector Database. The vector search engine provides a production-ready service with a convenient API to store, search, and manage vector embeddings.
Overview
Qdrant is an open-source and fully managed high-performance Vector Database. The vector search engine provides a production-ready service with a convenient API to store, search, and manage vectors with an additional payload Qdrant is tailored to extended filtering support on additional metadata fields, which can be stored as payload along with vector embeddings. With Qdrant, embeddings, and neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more solutions to make the most of unstructured data. It is easy to use, deploy and scale, blazing fast and accurate simultaneously.
Highlights
- Blazing Fast and Accurate
- Advanced Filtering Support
- Flexible Storage Options
Details
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Qdrant cloud usage unit according to the cluster deployment. | $0.01 |
Dimensions summary
For Qdrant Cloud on AWS Marketplace, the pricing dimension "Qdrant cloud usage unit" represents the computational resources allocated to your vector database cluster deployment. The pricing is based on the size and configuration of your cluster, which includes factors such as RAM, CPU, and storage capacity. According to Qdrant's official documentation, they offer different tiers of deployment options to accommodate varying workload requirements, from development environments to production-scale implementations.
Top-of-mind questions for buyers like you
How is the Qdrant cloud usage unit calculated for billing purposes?
The Qdrant cloud usage unit is calculated based on your cluster's configuration, including RAM, CPU cores, and storage capacity. The pricing scales with your resource allocation, where larger clusters with more computational resources consume more usage units per hour of operation.
What is the minimum deployment size available on AWS Marketplace?
Qdrant offers flexible deployment options starting from development-sized clusters suitable for testing and small workloads. The exact specifications and pricing can be determined during the deployment process through the AWS Marketplace interface.
Does the usage unit pricing include high availability and backup features?
The Qdrant cloud usage unit includes high availability features with automatic failover capabilities and data replication across nodes. Additional features such as automatic backups and monitoring are included in the base pricing, though storage costs for backups may be charged separately.
Vendor refund policy
Contact support@qdrant.com
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Qdrant
By Pinecone
By DataStax, Inc.
Top
10
In Embeddings
Top
10
In Embeddings
Top
10
In Databases, Generative AI, Application Development
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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AI generated from product descriptions
Vector Search Capability
High-performance vector search engine with advanced embedding storage and retrieval mechanisms
Metadata Filtering
Extended filtering support on additional metadata fields alongside vector embeddings
Open-Source Architecture
Fully open-source vector database with flexible deployment and scalability options
Neural Network Integration
Native support for neural network encoders and embedding transformations
API-Driven Design
Convenient programmatic interface for storing, searching, and managing vector data
Vector Search Performance
Supports ultra-low query latency with vector search capabilities for billions of items
Real-time Index Management
Enables live index updates for adding, editing, and deleting data dynamically
Metadata Filtering
Provides advanced filtering capabilities to combine vector search with metadata for enhanced search relevance
Distributed Infrastructure
Utilizes distributed infrastructure design to ensure high performance and reliability at scale
Security Compliance
Offers enterprise-grade security with SOC 2 Type II certification and GDPR readiness
Vector Database Technology
Built on Apache Cassandra with native vector database capabilities for generative AI applications
Real-time Data Processing
Enables immediate vector updates and data availability with zero delay for streaming workloads
Search Performance Optimization
Provides advanced vector search algorithms delivering up to 18% more relevant search results
Scalability Architecture
Capable of handling high-throughput workloads with 8X to 15X performance improvements
Low Latency Processing
Supports ultra-low latency operations on billions of vectors with rapid request response times
Standard contract
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