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NoSQL Workbench 3.13.2

Client-side GUI app for noSQL based database development and operations

Category: Developer Tools
Price: Free
Popularity: Low
Version String: 3.13.2
Release Date: 2024-09-03
Architecture: Intel
Minimum OS: macOS 10.13
Vendor Name: Amazon Web Services
Homepage: docs.aws.amazon.com

Version History 3.13.2

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Description:

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 unified visual IDE 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
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
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 manually add data to your data model. For more information, see Visualizing data access patterns.

Operation building
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. You can also use the structured operation builder to build and perform data plane operations. It supports projection and condition expression, and lets you generate sample code in multiple languages. For more information, see Exploring datasets and building operations with NoSQL Workbench.