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Description
Amazon S3 Vectors is the pioneering cloud object storage solution that inherently accommodates the storage and querying of vector embeddings at a large scale, providing a specialized and cost-efficient storage option for applications such as semantic search, AI-driven agents, retrieval-augmented generation, and similarity searches. It features a novel “vector bucket” category in S3, enabling users to classify vectors into “vector indexes,” store high-dimensional embeddings that represent various forms of unstructured data such as text, images, and audio, and perform similarity queries through exclusive APIs, all without the need for infrastructure provisioning. In addition, each vector can include metadata, such as tags, timestamps, and categories, facilitating attribute-based filtered queries. Notably, S3 Vectors boasts impressive scalability; it is now widely accessible and can accommodate up to 2 billion vectors per index and as many as 10,000 vector indexes within a single bucket, while ensuring elastic and durable storage with the option of server-side encryption, either through SSE-S3 or optionally using KMS. This innovative approach not only simplifies managing large datasets but also enhances the efficiency and effectiveness of data retrieval processes for developers and businesses alike.
Description
Aura Object Store is a highly scalable and persistent platform designed for the storage of media content intended for CDN content origination. This replicated HTTP object store ensures that media content is kept securely over time and supports file ingestion through various protocols, catering to both linear and Video on Demand (VoD) applications. It is tailored for operators who are in search of a robust and resilient media storage solution that can enhance their CDN capabilities. Additionally, Aura Object Store is user-friendly, cost-effective, and adapts to the growing needs of businesses effectively. Serving as the foundational element of the CDN hierarchy, it efficiently handles cache misses from multiple downstream CDN caching tiers. Utilizing standard HTTP or HTTPS for content delivery, it features a scale-out architecture that promotes redundancy and allows for storage expansion, with multiple nodes interconnected to create a unified storage cluster under a single virtualized namespace. This innovative approach ensures seamless media management and delivery, making it an excellent choice for modern content distribution needs.
API Access
Has API
API Access
Has API
Integrations
Amazon Bedrock
Amazon OpenSearch Service
Amazon S3
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
SAP Store
Integrations
Amazon Bedrock
Amazon OpenSearch Service
Amazon S3
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
SAP Store
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/s3/features/vectors/
Vendor Details
Company Name
Akamai
Founded
1998
Country
United States
Website
www.akamai.com/us/en/products/network-operator/object-store.jsp