# Aws Purpose Built Databases

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/aws-purpose-built-databases
- **Dataset:** https://optimly.ai/brand/aws-purpose-built-databases.json
- **Markdown:** https://optimly.ai/brand/aws-purpose-built-databases/llms.txt
- **Official website:** https://amazon.com
- **Slug:** aws-purpose-built-databases
- **Categories:** cloud-infrastructure, developer-tools

## Overview

- **Tagline:** AWS offers the widest selection of database engines specifically optimized for distinct data models, rather than forcing data into a relational schema.
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Description:** AWS Purpose-Built Databases refers to a portfolio of specialized database services designed for specific data models and use cases, rather than a single relational engine. The suite includes services for relational, key-value, document, in-memory, graph, time-series, and ledger data, allowing developers to optimize performance and scale based on application requirements.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Amazon Aurora
  - DynamoDB
  - DocumentDB
  - Neptune
  - Timestream
  - ElastiCache
  - QLDB
  - MemoryDB for Redis.
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Pricing:** Usage-based
Source: Brand's website (https://amazon.com) · 2026-10-04

## Audience

- **Target industry:** Software Developers, Enterprise Architects, Data Engineers, FinTech, E-commerce, Gaming.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Landscape

- **Competitors:**
  - MongoDB Atlas
  - Google Cloud Databases
  - Microsoft Azure Cosmos DB
  - Redis Labs
Source: Brand's website (https://amazon.com) · 2026-10-04

Page last updated 2026-10-17.