Sold by: Weaviate
The easiest way to build and scale AI applications
Overview
A SaaS solution built on the popular open-source low-latency vector database. Benefit from out-of-the-box support for multimodal media types (text, images, etc.) and seamlessly combine vector search with structured filtering. Leverage the fault tolerance of a cloud-native database accessible through a variety of client-side programming languages, enhancing your data capabilities effortlessly.
Please note that if you cancel your SaaS Marketplace Subscription, Weaviate will delete your clusters and your Weaviate organization.
Highlights
- End to end vector database for vector similarity search, hybrid search, and advanced filtered search.
- Optional integrations with AWS SageMaker, AWS Bedrock, OpenAI, Cohere, Anthropic, HuggingFace, and many others.
- Suited for vector search, retrieval augmented generation (RAG), and generative search.
Details
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 | Cost/unit |
|---|---|
Weaviate Cloud Serverless | $0.00 |
Weaviate Cloud Serverless (HA, Standard SLA) per 1M Dimensions Stored (min $75 pm) | $0.285 |
Weaviate Cloud Serverless (non-HA, Standard SLA) per 1M Dimensions Stored (min $25 pm) | $0.095 |
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
Please visit https://weaviate.io/partners/aws/contactus or reach out to support@weaviate.com to request additional 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.
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Customer reviews
Katerina T.
Easy to use and amazing customer support
Reviewed on Apr 01, 2025
Review provided by G2
What do you like best about the product?
Weaviate was so easy to integrate and use. The documentation is easy to follow, the Weaviate AI is super helpful for navigating common problems, and their customer support is next level! Facing a challenge is somehow a pleasant experience - you get a swift response and an expert perspective on your problem.
What do you dislike about the product?
It would've been great to have PHP instructions in the docs, or just simple HTTP requests.
What problems is the product solving and how is that benefiting you?
We're fully replacing our keyword searches to find relevant data for given criteria, with a smart semantic search. Weaviate returns the closest matches and you can further tune them using their RAG functionality by passing the results through Generative AI. It reduces hours of manual work and improves our internal processes immensely.
Leave a comment0 comments
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
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