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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
Feature flagging that’s purpose-built for B2B.
Release features gradually with simple flags, gate features based on customer subscriptions, and iterate fast with adoption metrics and feedback.
Here's how Bucket is different:
🏢 Companies over users: In B2B, you target customer accounts.
📍 Purpose-built: Bucket is built for the B2B use case, which makes everything simpler.
😍 Quality and craft: We focus on the details so you can focus on releasing better features.
🥷 Product engineering: We've made it easy to get feedback and adoption metrics on new releases.
💰 Entitlements: Easily manage feature access based on customer subscription.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon S3
Yes
Amazon Bedrock
Yes
Amazon OpenSearch Service
Yes
Amazon SageMaker Unified Studio
Yes
Amazon Web Services (AWS)
Yes
Mimasa AI
Yes
Segment
No
Slack
No
Integrations
Amazon S3
Yes
Amazon Bedrock
No
Amazon OpenSearch Service
No
Amazon SageMaker Unified Studio
No
Amazon Web Services (AWS)
No
Mimasa AI
No
Segment
Yes
Slack
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Starter: $0/month
Pro: $100/month
Enterprise: Custom
Pro: $100/month
Enterprise: Custom
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/s3/features/vectors/
Vendor Details
Company Name
Bucket
Founded
2022
Country
Denmark
Website
bucket.co
Product Features
Product Features
Application Development
Access Controls/Permissions
Yes
Code Assistance
No
Code Refactoring
No
Collaboration Tools
No
Compatibility Testing
No
Data Modeling
No
Debugging
No
Deployment Management
Yes
Graphical User Interface
No
Mobile Development
No
No-Code
Yes
Reporting/Analytics
Yes
Software Development
Yes
Source Control
No
Testing Management
Yes
Version Control
No
Web App Development
Yes
Feature Management
A/B Testing
No
Entitlement Management
Yes
Feature Alerts
No
Feature Flag / Toggle
Yes
Feature Rollout Management
Yes
KPI Monitoring
Yes
Kill Switch
Yes
Multivariate Testing
No
Product Experimentation
No
Whitelist Creation
No
