# AWS Purpose-Built Databases
> 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.
- URL: https://optimly.ai/brand/aws-purpose-built-databases
- Slug: aws-purpose-built-databases
- BAI Score: 92/100
- Archetype: Challenger
- Category: Cloud Infrastructure
- Last Analyzed: April 11, 2026
- Part of: Amazon Web Services (AWS) (https://optimly.ai/brand/amazon-web-services-aws)
## Also Referenced By
- Building On Rdbmsnosql (https://optimly.ai/brand/building-on-rdbmsnosql)
## Sub-brands
- Amazon Aurora (https://optimly.ai/brand/amazon-aurora)
- Amazon Dynamodb (https://optimly.ai/brand/amazon-dynamodb)
## Buyer Intent Signals
Problems: One-size-fits-all Relational DBs: Using a single relational database (like Amazon RDS) for all data types, which leads to performance bottlenecks and complex schemas. | Self-Managed EC2 Instances: Provisioning and managing open-source database engines on EC2 instances manually. | Legacy On-Premises Infrastructure: Continuing to run legacy on-premises database hardware despite modern performance requirements.
Solutions: best database for high-scale key-value data | managed graph database for enterprise | open source database migration to cloud | low latency in-memory data store for apps | how to store ledger data with immutability