Sold by: The Globalsolutions
Deployed on AWS
Free Trial
This product has charges associated with it for the build, maintenance, and support of the Amazon Machine Image (AMI). Milvus is an open-source vector database designed to handle high-dimensional vector data, enabling efficient similarity search and storage at a massive scale. It's particularly optimized for generative AI (GenAI) applications, powering tasks such as semantic search, recommendation systems, and Retrieval-Augmented Generation (RAG). Built to scale seamlessly from prototypes to production, Milvus supports billions of vectors with minimal performance degradation, making it a go-to tool for AI engineers and data scientists working with unstructured data.
Overview
This is a repackaged open-source software product, for which additional charges apply for support and for providing it in a simple, consumable AMI. Milvus is the leading vector database for AI-driven applications, powering scalable similarity search on billions of high-dimensional vectors with unmatched speed and efficiency. It is designed to handle and search massive amounts of vector data, typically generated by machine learning models. It excels in similarity searches, making it perfect for applications like recommendation systems, image and audio similarity searches, and fraud detection. Milvus is renowned for its high performance, scalability, and capacity to manage billions of vectors. At GlobalSolutions, we have packaged the Milvus database so our customers can get started quickly without having to build, package, or deploy it themselves.
Highlights
- - Massive Scalability - Blazing-Fast Performance - Flexible Deployment - Seamless Integrations - Developer-Friendly
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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/hour |
|---|---|
t3.small Recommended | $0.08 |
m5.2xlarge | $0.08 |
t3.large | $0.08 |
m6i.large | $0.08 |
m5.xlarge | $0.08 |
t3.medium | $0.08 |
c6i.large | $0.08 |
c6i.xlarge | $0.08 |
m5.large | $0.08 |
m6i.xlarge | $0.08 |
Dimensions summary
You pay by the hour for the EC2 instance size you run. This listing packages the Milvus vector database as a ready-to-use image, so pricing scales with compute capacity rather than software tiers. The ten options fall into three instance families. The t3 sizes (small, medium, large) suit lighter, burstable workloads. The m5 and m6i sizes (large, xlarge, 2xlarge) balance compute and memory for general use. The c6i sizes (large, xlarge) favor compute-heavy tasks. Larger sizes within each family bill at a higher hourly rate. You choose the size that fits your workload.
Top-of-mind questions for buyers
You pay for the running EC2 instance plus the pre-packaged Milvus vector database image. The image comes hardened and updated for security. Milvus starts automatically when the instance boots, with connection tools and a Python virtual environment pre-installed. Larger instance sizes give more compute and memory, at a higher hourly rate.
The software rate meters running instance-hours only. A fully stopped instance does not accrue the hourly software charge. You may still pay underlying AWS storage fees for the attached volume while the instance is stopped. Charges resume when you start the instance again.
Yes. Pricing follows the instance size you launch, so scaling is manual. To change capacity, you launch a different size or resize the instance. Your bill then reflects the new hourly rate. There is no automatic tier upgrade based on usage volume.
theglobalsolutions.net
Helpful?
Vendor refund policy
We do not currently support refunds, but you can cancel at any time before the trial period ends.
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
Additional details
Usage instructions
Resources
Vendor resources
Support
Vendor support
Please contact us at support@theglobalsolutions.net . If you have any questions on how this is installed or deployed, please feel free to contact our 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.
Similar products
This product has charges associated with it for the build, maintenance, and support of the Amazon Machine Image (AMI).pgvector is an open-source PostgreSQL extension that enables native vector similarity search, allowing you to store and query AI-generated embeddings directly within your existing PostgreSQL database. It supports distance metrics like cosine similarity and Euclidean distance.
This product has charges associated with it for the build, maintenance, and support of the Amazon Machine Image (AMI). Apache Airflow is a tool that allows users to programmatically create, schedule, and monitor workflows. It's a popular tool for data engineers and other data professionals to automate the management of data pipelines and other complex workflows. You can easily visualize your data pipelines, dependencies, progress, logs, code, trigger tasks, and success status.
This product has charges associated with it for the build, maintenance, and support of the Amazon Machine Image (AMI). DuckDB is an embeddable SQL OLAP (Online Analytical Processing) database management system designed for analytical querying. It's particularly optimized for analytical workloads on columnar data. DuckDB is written in C++ and aims to provide high-performance querying while maintaining a minimal footprint. DuckDB has no external dependencies, neither for compilation nor during run-time.
This product has associated charges for building, maintaining, and supporting the Amazon Machine Image (AMI).MySQL offering is packed with many components to make this a production-ready MySQL Server. The server is fine-tuned for stability and availability. MySQL Workbench provides all the monitoring and is backed by GlobalSolutions patch management solutions for the Windows operating system.
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.