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What is CrateDB?

An enterprise-grade database designed for handling time series, documents, and vectors. It allows for the storage of diverse data types while merging the ease and scalability of NoSQL with the capabilities of SQL. CrateDB stands out as a distributed database that executes queries in mere milliseconds, no matter the complexity, data volume, or speed of incoming data. This makes it an ideal solution for organizations that require rapid and efficient data processing.

What is Amazon S3 Vectors?

Amazon S3 Vectors stands out as a groundbreaking cloud object storage solution designed specifically for the large-scale storage and querying of vector embeddings, offering an efficient and economical option for applications like semantic search, AI-based agents, retrieval-augmented generation, and similarity searches. It introduces a unique “vector bucket” category within S3, allowing users to organize vectors into “vector indexes” and store high-dimensional embeddings that represent diverse forms of unstructured data, including text, images, and audio, while facilitating similarity queries through specialized APIs, all without requiring any infrastructure setup. Additionally, each vector can incorporate metadata such as tags, timestamps, and categories, which supports attribute-based filtered queries. One of the standout features of S3 Vectors is its remarkable scalability; it can manage 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 accompanied by server-side encryption options through SSE-S3 or KMS. This innovative solution not only streamlines the management of extensive datasets but also significantly boosts the efficiency and effectiveness of data retrieval for developers and businesses, ultimately transforming the way organizations handle large volumes of unstructured data. With its advanced capabilities, Amazon S3 Vectors is positioned to redefine data storage and retrieval methodologies in the cloud.

Media

Media

Integrations Supported

Apache Airflow
Apache NiFi
Apache Superset
CUBE
Cluvio
DataStation Innovation Cloud
Grafana Cloud
IBM StreamSets
LangChain
MLflow
Metabase
Node-RED
PostgreSQL
Prometheus
R
Tableau
balena
n8n

Integrations Supported

Amazon OpenSearch Service
Mimasa AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

CrateDB

Date Founded

2013

Company Location

United States

Company Website

cratedb.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/s3/features/vectors/

Categories and Features

Columnar Databases

Not specified

Database

Not specified

Distributed Databases

Not specified

Document Databases

Not specified

RDBMS

Not specified

Relational Database

Not specified

Time Series Databases

Not specified

Vector Databases

Not specified

Categories and Features

Object Storage

Not specified

Vector Databases

Not specified

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