AWS DynamoDB, Document DB, and Neptune
Explore the features and use cases of AWS DynamoDB, DocumentDB, and Neptune databases. Understand how these fully managed services support NoSQL, document, and graph data models. Learn key components such as indexes, streams, and query languages to effectively store and retrieve data for various applications.
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DynamoDB, DocumentDB, and Neptune are database services offered by AWS. While they’re designed for different use cases and have unique features, all three are powerful tools for storing and retrieving data.
DynamoDB
DynamoDB is a fully managed, powerful, and flexible NoSQL database service. It offers capabilities like flexible data models (NoSQL) and automatic scalability (serverless). It’s ideal for applications that require low latency and high throughput.
DynamoDB is suitable for use cases, including gaming, ad tech, and IoT. It can be used for storing and retrieving user data, session data, metadata, and other data types.
Components
Let’s discuss the components and other entities in DynamoDB.
- Table: A schemaless collection of data.
- Items: A collection of attributes contained in DynamoDB tables. Each item has a