Graph databases are gaining popularity due to their ability to manage and analyze complex relationships between data points, making them suitable for a wide range of applications, including business intelligence, operational transactions, and real-time analytics. The graph data model is unique in that it not only stores data points but also the relationships between them, allowing for intuitive analysis and insights. Graph databases are used in both analytical and operational use cases, with the former focusing on complex data analysis and the latter on real-time transactional environments. To address the challenges of operational graph use cases, modern graph databases like Aerospike Graph have been developed to deliver high-performance, scalable solutions that can handle large-scale graph datasets.