Graph Solutions PoC to Production: Overcoming the Barriers to Success (Part I)

Part I: A Review of Why Graph PoCs Struggle to Demonstrate Success or Progress to Production This is Part 1 of a two-part series on graph database PoC success and production deployment.   Introduction I began my journey with graphs around 2014 when I discovered network theory and tools like NetworkX and Neo4j. As our world becomes increasingly connected, it makes sense to work with data by leveraging its inherent connections. Soon, every problem I faced seemed ideally suited for graph solutions. Early in my experiences, I worked with a biotech startup, exploring how graphs could surface insights into drug-protein interactions (DPI).