The #GraphThat series features Amazon Neptune specialists taking public datasets and converting them to a graph model optimized for Amazon Neptune. This is a common request from customers for assistance creating their graph data model, so we hope this series will inspire and educate on this subject. In episode 2, we explore Neptune Analytics and show how to build a graph from a software bill of materials and use graph algorithms to analyze it. Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Neptune is a purpose-built, high-performance graph database engine. This engine is optimized for storing billions of relationships and querying the graph with milliseconds latency.
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