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
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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 the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Private Cloud | Deploy Qdrant fully on premise for maximum control and data sovereignty. | $25,000.00 |
Dimensions summary
This listing offers one pricing dimension: Private Cloud, billed by Units under an annual contract. You deploy Qdrant fully on your own on-premise infrastructure, giving you control over data and residency. Pricing scales with the number of Units you commit to for the year. There are no separate tiers or instance sizes to choose from here. This deployment suits sensitive workloads, air-gapped setups, and environments needing full isolation. To size your commitment or understand how Units map to your workload, contact the vendor.
Top-of-mind questions for buyers
The pricing table bills by Units for an on-premise deployment, but it does not define what one Unit maps to in compute, memory, or storage terms. Unit sizing depends on your workload and cluster needs. Contact the vendor to map Units to your data volume and required capacity.
With Private Cloud, you run Qdrant entirely on your own infrastructure or edge locations. You control data residency, isolation, and security, which suits air-gapped and regulated workloads. A managed setup instead runs the software on provider-hosted infrastructure. This listing covers only the on-premise Private Cloud option.
You get a dedicated, isolated on-premise deployment with support for air-gapped setups and full isolation. Custom service-level agreements are available. It includes access management, backup options, and disaster recovery. Contact the vendor to confirm which capabilities apply to your environment.
qdrant.tech+2
Helpful?
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Contact support@qdrant.com
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.
Similar products
Only for accepting private offers. Pinecone is a serverless vector database built to power production AI on AWS. It delivers fast, accurate retrieval with hybrid search, reranking, filtering, and real-time indexing - no infrastructure or tuning required. Purpose-built for scale, Pinecone handles billions of vectors with low latency and high reliability. Teams use Pinecone to power agents, semantic search, recommendations, and RAG pipelines without managing infrastructure or stitching together open-source tooling. With fully managed operations and predictable performance, developers can focus on building intelligent applications instead of operating vector infrastructure.
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.
Unify your data across Oracle and AWS with Oracle Database services running on Oracle Cloud Infrastructure (OCI) within AWS. Modernize mission-critical workloads and develop new, intelligent applications with a low latency networking connection between Oracle Database capabilities, such as Oracle Database 23ai AI Vector Search, and AWS services. Maintain full feature availability, architectural compatibility, and the same performance as on-premises.
This is a repackaged open source software product wherein additional charges apply for hardening, security configuration, and setup support.
Qdrant is an open-source, high-performance vector database for AI and semantic search - used in RAG pipelines, recommendation systems, LangChain, LlamaIndex, and any workload requiring similarity search over embeddings. This Lynxroute build is security baked in: unique API key at first boot, UFW firewall pre-configured, and CIS Level 1 hardened Ubuntu 24.04 LTS base.
Web UI included. fastembed pre-installed for local embedding without external API calls.
Apache-2.0 license - fully auditable, no vendor lock-in.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.