Which feature of MongoDB does the Data Explorer leverage for schema evaluation?

The Data Explorer in MongoDB leverages schema validation rules to evaluate the schema of collections. Schema validation is a powerful feature that allows you to enforce specific structures on your documents within a collection. This ensures that the data adheres to certain criteria, allowing for better consistency and integrity across your database.

When you use the Data Explorer, it can help you assess how well your stored documents conform to the defined schema validation rules. These rules can include defining required fields, specifying types of values, and even more complex validation logic using JSON Schema. This real-time evaluation helps developers understand the schema of their data, making it easier to maintain and modify their applications as needed.

In contrast, while document storage capabilities enable the saving of data, they don't inherently provide insights about schema. Real-time data analytics focuses on analyzing and interpreting data rather than evaluating its structure. Additionally, the graphical user interface aspect of the Data Explorer facilitates user interactions and visualization of collections, but it is ultimately the schema validation rules that enable assessment of data structure. Therefore, schema validation rules are central to the Data Explorer's functionality regarding schema evaluation in MongoDB.