# Amazon S3 Vectors

Amazon S3 Vectors is a vector storage feature of Amazon S3 that uses a new bucket type called a vector bucket, with dedicated APIs for inserting, querying and managing vectors. It supports cosine and Euclidean distance metrics and is described as scaling to up to 2 billion vectors per index. It is a fully managed, serverless store with no dedicated clusters to run.

Page: https://slateindex.ai/brand/amazon-s3-vectors · data of 2026-11-02

## Facts

- Founded: 2025
- Company type: Division of Amazon
- Deployment: Fully managed and serverless, with no dedicated clusters to run

## Products

- Amazon S3 Vectors: Vector buckets in Amazon S3 with dedicated APIs for inserting, querying and managing vectors.

## Rankings

| Category | Rank | Visibility | Mentions |
|---|---|---|---|
| Vector Databases | 24 of 30 | 1.2 | 2 |

## By engine

| Engine | Visibility | Mention rate |
|---|---|---|
| chatgpt | 0.0 | 0.0% |
| google_ai_mode | 0.0 | 0.0% |
| perplexity | 3.5 | 7.4% |

## Definitions

- Visibility (0–100): how often and how high AI answers name the brand, weighted by position.
- Mention rate: share of collected AI answers that name the brand.
- Share of voice: the brand's mentions as a share of all brand mentions in the category.
- Citation authority: share of answers naming the brand that cite the brand's own site.

Cite as: SlateIndex, “Amazon S3 Vectors AI visibility profile”, https://slateindex.ai/brand/amazon-s3-vectors, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
