Why Graph Databases Are Often Underestimated
Read OriginalThis article argues that graph databases, like Neo4j, are unfairly underestimated despite their strengths in handling highly interconnected data. It provides a practical example of using a graph database to catalog IT systems and their dependencies, such as API calls, and to store contact information for incident response. The piece highlights how graph databases can answer complex questions about system impacts quickly and reliably, making a case for their broader adoption in tech infrastructure.
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