AWS IoT TwinMaker announces Knowledge Graph optimization for efficient entity-metadata query capabilities

AWS IoT TwinMaker makes it easier to create digital twins of real-world systems such as buildings, factories, industrial equipment, and production lines. Today, AWS announced enhancements to AWS IoT TwinMaker Knowledge Graph that enable faster and more flexible entity metadata query capabilities for industrial customers. These optimizations provide faster entity-metadata queries using full-text search and wildcard search, addressing the data engineering needs of customers requiring efficient entity metadata access.

Industrial customers often deal with large number of entities and require quick, flexible ways to search and retrieve information about their entities. The new TwinMaker Knowledge Graph optimizations allow users to perform full-text searches and use wildcard characters to match and retrieve data more effectively. With the improved entity-metadata query capabilities, customers can now perform full-text searches across their entity data to quickly find relevant information, use wildcard characters in their searches to match and retrieve data more flexibly. These enhancements build upon the existing features of AWS IoT TwinMaker Knowledge Graph, which structures and organizes information about digital twins for easier access and understanding.

This feature is available in all regions where AWS IoT TwinMaker is generally available.

To learn more, visit AWS IoT TwinMaker developer guide and API reference. Use the AWS Management Console to get started.