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DocumentDB

Priority Tier 4 Domain 3: Design High-Performing Architectures

The provided source pages do not contain specific information about Amazon DocumentDB (with MongoDB compatibility) as a distinct AWS service. Information regarding 'Document' data models is primarily referenced in the context of Amazon DynamoDB.

Learning Objectives

NoSQL Databases and Document Data Models (Context in Provided Sources)

The provided source materials discuss NoSQL databases and the document data model primarily in the context of Amazon DynamoDB, not Amazon DocumentDB as a distinct service.

Amazon DynamoDB, described as a serverless, fully scalable NoSQL database, supports a flexible data model that includes both Key-Value and Document types.
AWS offers various NoSQL database services to cater to diverse application needs. Amazon DynamoDB is identified as a fully managed NoSQL database service optimized for high-performance applications, while Amazon Neptune is mentioned as a fully managed graph database service for highly connected data.
NoSQL databases can store data in flexible structures, often resembling JSON documents. This contrasts with the rigid row-and-column format typically found in SQL databases.
Technical Specs: json { "CountryCode": "ABW", "Name": "Aruba", "Continent": "North America", "SurfaceArea": 193.00 }

Glossary

NoSQL
Non-relational database, which provides flexible schemas and is often used for high-performance applications.
Document Data Model
A type of NoSQL data model where data is stored in flexible, semi-structured documents (e.g., JSON), as supported by NoSQL databases like Amazon DynamoDB.
Key-Value
A type of NoSQL data model where data is stored as a collection of unique keys and their associated values.

Key Takeaways

Content Sources

Introduction to Amazon DynamoDB Amazon Relational Database Service (R... Amazon RDS - A Comprehensive Guide to... AWS Cost Optimization Deep Dive AWS Well-Architected Framework: Pilla... Extracted: 2026-01-26 13:43:57.873342 Model: gemini-2.5-flash