Sold by: Weaviate
The Weaviate Kubernetes offering is part of Weaviate's Bring Your Own Cloud (BYOC) offering, allowing you to deploy the vector database cluster inside your AWS tenant and VPC. The deployment is end-to-end and comes with the Weaviate Enterprise Terms (support) and Enterprise Service License Agreement.
Overview
Weaviate is a popular open-source low-latency vector database with out-of-the-box support for multimodal media types (text, images, etc.). The database stores both objects and vectors, allowing for combining vector search with structured filtering and the fault tolerance of a cloud-native database. All are accessible through a wide variety of client-side programming languages.
Highlights
- End-to-end vector database for vector similarity search, hybrid search, and advanced filtered search.
- Optional integrations with SageMaker, Bedrock, OpenAI, Cohere, HuggingFace, and many others.
- Suited for vector search, retrieval augmented generation (RAG), and generative search.
Details
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Delivery method
Delivery option
Weaviate Enteprise for AWS Marketplace
Latest version
Operating system
Linux
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.
Dimension | Description | Cost/unit |
|---|---|---|
#CPU per hour | #CPU/hour | $0.006 |
Memory in GB per hour | Total GB/hour | $0.012 |
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
Weaviate Enteprise for AWS Marketplace
Supported services: Learn more
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Notes can be found on https://github.com/weaviate/weaviate/releases
Additional details
Usage instructions
View the full usage guide at https://weaviate.io/developers/weaviate/installation/aws-marketplace
Resources
Vendor resources
Support
Vendor support
Please visit https://weaviate.io/partners/aws/contactus to request support and setting up support contract for critical response SLA, the setup of support channels (Slack, email, and phone), and to receive optional complementary training from experts at Weaviate.
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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Customer reviews
Jeanine K.
AI Bootcamp (Dallas): GenAI in Production
Reviewed on Feb 28, 2025
Review provided by G2
What do you like best about the product?
I really enjoyed learning about Query agents, transformation agent and personalized agent
What do you dislike about the product?
Nothing, everything was spectacular I enjoyed all the guest speakers
What problems is the product solving and how is that benefiting you?
I am new with Weaviate but hope to use all the knowledge shared to further advance my learning within AI
Leave a comment0 comments
Hari M.
Great Vector db
Reviewed on Feb 27, 2025
Review provided by G2
What do you like best about the product?
Participated in workshop by Weaviate in Dallas and these guys know what they are doing and built an amazing product.
The hand holding we had during the session is amazing.
The hand holding we had during the session is amazing.
What do you dislike about the product?
Cant think of any!, It was both great education and we will explore of feasibility.
What problems is the product solving and how is that benefiting you?
We are not using it yet. I will discuss with out data science team if there is a scope and inclination.
Zahir L.
A very good product with a great support team
Reviewed on Feb 06, 2025
Review provided by G2
What do you like best about the product?
The responsiveness of the support team and the ability to speak to real people about issues you may be having. The product has great functionality and enables quick wins in terms of integrating to our systems
What do you dislike about the product?
Release process is usually smooth but there have been some "undocumented" gotchas. But team helped to resolve.
What problems is the product solving and how is that benefiting you?
Ability to connect to all the major LLM platforms for embedding as well as genai without needed additional frameworks where the use cases are simple. Well supported by the other frameworks for more complex cases.
Ziwar M.
A great DB solution for the AI Era
Reviewed on Feb 06, 2025
Review provided by G2
What do you like best about the product?
I like the API first/multi tenancy and ease of use of Weaviate. I use it not only as a vector database, I made a decision to use it as the core database for the entire app.
What do you dislike about the product?
There are some features they should enable in the cloud console
What problems is the product solving and how is that benefiting you?
The automatic embedding/batch operations/multi tenancy
Anton I.
I really like idea os saas vector db
Reviewed on Dec 03, 2024
Review provided by G2
What do you like best about the product?
I just started to investigate. Thanks for a cool solution
What do you dislike about the product?
Nothing but i will find :-). I promise to do that
What problems is the product solving and how is that benefiting you?
Commercial ai base solution