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 Amazon Web Services 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.


One tool for design, development, and deployment

NoSQL Workbench simplifies and accelerates the process of building data models with a rich graphical user interface to visualize data and perform DynamoDB operations. You can directly connect NoSQL Workbench to DynamoDB Local for local development and testing, and commit your data models to Amazon DynamoDB in an Amazon Web Services account when ready.

Get started

You can use NoSQL Workbench to build new data models from scratch, import and modify from your existing data models, or from one of the several sample data model templates to satisfy your application’s data access patterns. You can export your data models in several different formats to facilitate sharing and collaboration between teams.

Generate sample code in multiple languages

With a few steps, you can generate ready-to-run sample code in multiple languages to use in your application to perform DynamoDB API operations.

Key features

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 manually add data to your data model or import data from CSV or JSON files.

For more information, see Visualizing Data Access Patterns.

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.

Get started

Get started by downloading the latest version of NoSQL Workbench. Learn more about NoSQL Workbench in the DynamoDB Developer Guide.

Sample data models

A number of sample data models ship with NoSQL Workbench. See the following links to learn about each of these models and their potential uses.

NoSQL Workbench with DynamoDB Local is available in Amazon Web Services China (Beijing) Region, operated by Sinnet and Amazon Web Services China (Ningxia) Region, operated by NWCD.

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