What is behind the surging interest in graph databases?

Interest in graph databases is growing rapidly due to their ability to manage and analyze complex relationships between data points. Graph databases store nodes (data points) and edges (relationships), making it easier to understand connections and gain insights from large datasets. They are used for both analytical and operational purposes, such as knowledge graphs in healthcare, data exploration for data scientists, real-time fraud detection in banking, and personalization in e-commerce. Graph databases like Aerospike Graph offer high scalability, low latency, and support for both operational and analytical use cases.