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About

Amazon S3 Vectors is the first cloud object store with native support for storing and querying vector embeddings at scale, delivering purpose-built, cost-optimized vector storage for semantic search, AI agents, retrieval-augmented generation, and similarity-search applications. It introduces a new “vector bucket” type in S3, where users can organize vectors into “vector indexes,” store high-dimensional embeddings (representing text, images, audio, or other unstructured data), and run similarity queries via dedicated APIs, all without provisioning infrastructure. Each vector may carry metadata (e.g., tags, timestamps, categories), enabling filtered queries by attributes. S3 Vectors offers massive scale; now generally available, it supports up to 2 billion vectors per index and up to 10,000 vector indexes per bucket, with elastic, durable storage and server-side encryption (SSE-S3 or optionally KMS).

About

Shelby is a verifiable, global object storage system purpose-built for AI and other read-heavy workloads, designed to deliver high-performance data access with strong guarantees of ownership, integrity, and control. It enables users to store data once and access it from any region through a unified interface, eliminating fragmentation while maintaining cryptographic verification of what was stored, when, where it originated, who owns it, and who has access rights. It is optimized for demanding use cases such as AI training and inference, video streaming, and large-scale analytics, where fast read speeds and high bandwidth are critical. Shelby uses a decentralized architecture with storage providers, RPC nodes, and a blockchain coordination layer to ensure data availability, enforce access logic, and manage payments, while maintaining sub-second latency and high throughput through dedicated network infrastructure.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and data-scientists wanting a tool offering vector storage without managing database infrastructure

Audience

Web3 developers, AI teams, and data-intensive platforms that need high-performance, verifiable storage to access and manage large datasets in real time

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/s3/features/vectors/

Company Information

Shelby
Founded: 2025
United States
shelby.xyz/

Alternatives

Milvus

Milvus

Zilliz

Alternatives

Hitachi Content Platform

Hitachi Content Platform

Hitachi Vantara

Categories

Categories

Integrations

Amazon Bedrock
Amazon OpenSearch Service
Amazon S3
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)

Integrations

Amazon Bedrock
Amazon OpenSearch Service
Amazon S3
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Claim Amazon S3 Vectors and update features and information
Claim Amazon S3 Vectors and update features and information
Claim Shelby and update features and information
Claim Shelby and update features and information