Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Qdrant is an open source, high performance vector database and similarity search engine designed for AI, machine learning, and semantic search applications.
Overview
Qdrant 1.16.3 on Ubuntu 24.04 with free Maintenance Support by PCloudhosting is a repackaged open-source solution available on the AWS Cloud Marketplace. While Qdrant itself is open source, optional paid maintenance and enterprise support are available through PCloudhosting for teams that want expert help running production workloads on AWS.
Qdrant is a high performance, open-source vector database and search engine designed for fast, accurate similarity search at scale. It is designed to handle vector embeddings generated by machine learning models, making it a strong fit for real-world use cases such as semantic search, recommendation engines, natural language processing, and computer vision.
Qdrant provides a production-ready service with a clean, convenient API for storing, searching, and managing vector data, along with additional metadata (payloads). This allows you to apply advanced filters on structured fields while performing vector similarity search, helping you get more relevant and meaningful results from unstructured data.
Optimised for deployment on the AWS Cloud Marketplace, this offering enables fast launches using AWS infrastructure, seamless scaling, and reliable performance for enterprise grade workloads.
With Qdrant, embeddings and neural network encoders can be turned into complete, end-to-end applications for matching, searching, ranking, and recommendation. The platform is easy to deploy, simple to operate, and built to stay fast and accurate even under heavy load.
Key Highlights
- Delivers high requests per second (RPS) with low latency, ideal for real-time applications
- Stores vector points with optional metadata payloads for richer search and filtering
- Advanced filtering support on structured fields alongside vector similarity search
- Blazing-fast performance with production-grade accuracy
- Flexible storage and deployment options, including hybrid cloud environments
- Optimised for AWS infrastructure for easy scaling and reliable operations
Highlights
- Achieves high Requests Per Second (RPS) with minimal latency.
- Stores vectors (points) with optional metadata (payloads).
- The Qdrant Hybrid Cloud enables deployment across any environment.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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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.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.006 |
t3.micro | $0.006 |
t2.micro | $0.001 |
t2.2xlarge | $0.006 |
t2.medium | $0.006 |
t3.medium | $0.006 |
t3.nano | $0.006 |
r4.large | $0.006 |
r3.large | $0.006 |
t3.large | $0.006 |
Vendor refund policy
No Refund
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
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of August/2025
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #sudo apt update Hit on browser - http://localhost:6333
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com Website:
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.
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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.
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