Which NoSQL database type stores each record and its associated data within a single document and also works well with Analytics platforms?

The correct answer is document-based database. Document-based databases are designed to store data in documents, typically in formats such as JSON, XML, or BSON. Each document contains key-value pairs that can support complex data structures, which means that each record can encapsulate its related data within a singular, self-contained object.

This structure is highly compatible with analytics platforms because it allows for flexible querying and easy integration of complex, nested data. Unlike traditional relational databases, which require predefined schemas, document-based databases can adapt to various data types and structures without extensive reconfiguration, making them particularly useful for applications that may involve diverse data inputs and require rapid iterations.

The other types of NoSQL databases do not inherently provide the same level of structured versatility with individual records. Column-based databases organize data into columns and are primarily optimized for querying large amounts of data across columns rather than handling nested document structures. Key-value stores operate with a simpler model, where data is accessed using a unique key, but they lack the ability to group associated data together in a comprehensive manner as documents do. Graph-based databases focus on relationships between entities and are primarily used for handling data related to network structures rather than stand-alone documents.