NoSQL Workbench for DynamoDB
NoSQL Workbench for Amazon DynamoDB is a cross-platform, client-side GUI application that you can use for modern database development and operations. It's available for Windows, macOS, and Linux. NoSQL Workbench is a visual development tool that provides data modeling, data visualization, and query development features to help you design, create, query, and manage DynamoDB tables. NoSQL Workbench now includes DynamoDB local as an optional part of the installation process, which makes it easier to model your data in DynamoDB local. To learn more about DynamoDB local and its requirements, see Setting up DynamoDB local (downloadable version) .
- Data modeling
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With NoSQL Workbench for DynamoDB, you can build new data models from, or design models based on, existing data models that satisfy your application's data access patterns. You can also import and export the designed data model at the end of the process. For more information, see Building data models with NoSQL Workbench.
- Data visualization
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The data model visualizer provides a canvas where 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. You can autogenerate sample data for use in your data model. For more information, see Visualizing data access patterns.
- Operation building
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NoSQL Workbench provides a rich graphical user interface for you to develop and test queries. You can use the operation builder to view, explore, and query live datasets. The structured operation builder supports projection expression, condition expression, and generates sample code in multiple languages. You can directly clone tables from one Amazon DynamoDB account to another one in different Regions. You can also directly clone tables between DynamoDB local and an Amazon DynamoDB account for faster copying of your table’s key schema (and optionally GSI schema and items) between your development environments. For more information, see Exploring datasets and building operations with NoSQL Workbench.