Amazon DynamoDB NoSQL Workbench
Why NoSQL Workbench?
NoSQL Workbench is a visual tool that provides data modeling, data visualization, and query development features to help you design, create, query, and manage DynamoDB tables. For example, you can design and create data schemas from scratch or by using of one of several sample data model templates, complete with datasets. You can visualize your data model designs and relationships to ensure they fulfil the access pattern requirements of your application. You can also deploy and interact with your data model on Amazon DynamoDB in an AWS account or through DynamoDB Local.
NoSQL Workbench is available on Windows, macOS, and Linux. See building data models with NoSQL Workbench, visualizing data access patterns, and exploring datasets and building operations with NoSQL Workbench to learn more about these features.
Benefits of NoSQL Workbench
Data modeling
You can build new data models from, or design models based on, your existing data models or one of several sample data model templates that satisfy your application's data access patterns. You can also import and export your designed data model at the end of the process.
For more information, see Building Data Models with NoSQL Workbench.
Data visualization
You can map queries and visualize the access patterns (facets) of the application without having to write code. Every facet corresponds to a different access pattern in DynamoDB. In addition, you can auto-generate sample data for use with your data model or import data from CSV or JSON files.
Operation building
You can use the operation builder to view, explore, and query datasets. You can also use the structured operation builder to build and perform data plane operations. The tool supports projection and condition expressions, and lets you generate ready-to-run sample code in multiple languages.
For more information, see Exploring Datasets and Building Operations with NoSQL Workbench.
Download NoSQL Workbench
NoSQL Workbench is available for Windows, macOS, and Linux.