Here is a summary of the text in one paragraph, highlighting key points: In business and life, relationships matter more than individual skills or competencies. However, when it comes to data, we often overlook these connections, focusing on individual data points rather than their relationships. Relational databases are great for handling discrete data points but struggle with complex queries that require connecting multiple pieces of information, leading to poor performance. NoSQL databases can store connected data but have limitations in handling reciprocal queries and may not be efficient enough for deep and complex queries. In contrast, graph databases store data relationships as relationships, allowing for flexibility and efficiency when it comes to querying and adding new nodes and relationships without compromising the existing network or expensively migrating data. Graph technology is particularly effective at handling connected data, making it a crucial tool for mission-critical insights and nimble business agility.