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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

Company data stored in object storage as video, images, audio and documents can be difficult to search by content. Mixpeek connects to your bucket and runs extractors over each file. A video becomes scenes, keyframes, transcripts, faces and on-screen text. A PDF becomes pages, tables and figures. Each piece is embedded and stored with its timestamps and source path. Then you query it. Retrievers combine vector search, filters and reranking in one call. Taxonomies label files against your own categories. Clusters group what nobody has labeled yet. It ships as an API, Python and JavaScript SDKs, an MCP server for agents, and Studio, a web app.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Developers, media and ad-tech teams, and data teams that keep large video, image, audio and document archives in S3, GCS or Azure.

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

$25/month
The Build plan starts at $25 per month and includes $10 in monthly usage credits; additional usage is billed based on consumption.
Free Version Not Supported
Free Trial Not Supported

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 Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

Mixpeek
Founded: 2022
United States
mixpeek.com

Alternatives

Alternatives

txtai

txtai

NeuML
Milvus

Milvus

Zilliz
Voyage AI

Voyage AI

MongoDB

Categories

Object Storage Supported
Vector Databases Supported

Categories

Semantic Search Supported

Integrations

Amazon Bedrock Supported
Amazon S3 Supported
Amazon OpenSearch Service Supported
Amazon SageMaker Unified Studio Supported
Amazon Web Services (AWS) Supported
Azure Blob Storage Not Supported
Cloudflare R2 Not Supported
Fireworks AI Not Supported
Google Cloud Storage Not Supported
Mimasa AI Supported
Model Context Protocol (MCP) Not Supported
Mux Not Supported
Together AI Not Supported
iconik Not Supported

Integrations

Amazon Bedrock Supported
Amazon S3 Supported
Amazon OpenSearch Service Not Supported
Amazon SageMaker Unified Studio Not Supported
Amazon Web Services (AWS) Not Supported
Azure Blob Storage Supported
Cloudflare R2 Supported
Fireworks AI Supported
Google Cloud Storage Supported
Mimasa AI Not Supported
Model Context Protocol (MCP) Supported
Mux Supported
Together AI Supported
iconik Supported
Claim Amazon S3 Vectors and update features and information
Claim Amazon S3 Vectors and update features and information
Claim Mixpeek and update features and information
Claim Mixpeek and update features and information