Which of the following describes Graph databases in NoSQL?

Graph databases in NoSQL are designed specifically to efficiently model and manage relationships between entities. This is a fundamental characteristic that sets them apart from other types of databases, such as relational or document databases. In a graph database, data is represented as nodes (entities) and edges (relationships), which allows for complex queries that involve traversing relationships. This structure is particularly advantageous for scenarios such as social networks, recommendation systems, and network analysis, where the relationships among data points are as important as the data itself.

The other options highlight aspects that are either unrelated to the core functionality of graph databases or incorrectly characterize them. For instance, graph databases do not utilize a tabular format; instead, they focus on interconnected data, making them distinct from traditional relational databases. Moreover, many graph databases do support indexing to optimize data retrieval, which contradicts the idea that they do not support indexing. Lastly, graph databases are not limited to structured data; they can handle semi-structured and unstructured data too, allowing flexibility in how data is modeled and queried.