What's new:
Create data schemas and tables in DynamoDB using sample data model templates and datasets available in NoSQL Workbench.
NoSQL Workbench now bundles with DynamoDB Local to help you set up a local DynamoDB design and development environment to get started faster.
Import data from Amazon S3 directly into a new DynamoDB table without writing any code or managing additional infrastructure.
AWS Glue supports DynamoDB as a source to combine and replicate data continuously across multiple databases in near real-time.
Use PartiQL, a SQL-compatible query language, to query, insert, update, and delete table data in DynamoDB.
Use Amazon Kinesis Data Streams to capture item-level changes in your DynamoDB tables.
Restore DynamoDB tables even faster.
AWS Pricing Calculator now supports DynamoDB.
Export data from DynamoDB to Amazon Simple Storage Service (Amazon S3) and use other AWS services such as Amazon Athena to analyze your data and extract actionable insights.