Graph databases are designed to maintain arbitrary connections between data as a fully materialized entity that can be manipulated like any other piece of information in the database, making them dynamic and growing with the application. This allows for knowledge management and extraction, understanding, and utilization of data. Companies are adopting graph technologies to gain real-time analytics and decisioning capabilities. Graph databases excel at handling unstructured and changing data, making them suitable for various modern applications such as real-time recommendations, social network publishing, artificial intelligence, and more. Relational databases are not well-suited for the ever-changing needs of modern organizations due to their rigid data models and inability to adapt to change easily. The modern world generates data at exponential growth rates with dynamic connections, making relational systems brittle and unable to handle modern datasets. Graph databases offer a new foundation for data storage and manipulation with features like schema optional, index-free adjacency, and relationships as first-class citizens.