Per Chatgpt:
This is a column family database structure — Key + column groups, where each column group (like Customer, Product) holds its own set of attributes.
❌ Why not the others?
Option Why Not It?
B. Relational Relational databases use flat tables, not nested fields
C. Key-Value Key-value stores don’t support grouped fields — just key and a single value
D. Document Document stores (e.g., MongoDB) store data as JSON-like documents, not column families
chatGPT's answer:
his structure best fits a document database (e.g., MongoDB, Azure Cosmos DB - Document API).
Why?
Hierarchical/Nested Data → Customer & Product have subcategories.
JSON-like format → Ideal for NoSQL document stores.
Flexible schema → Unlike rigid relational databases.
Not a Good Fit For:
❌ Relational (SQL) DB → Would require separate tables & joins.
❌ Key-Value DB → Too complex for simple key-value pairs.
❌ Column-Family DB (e.g., Cassandra) → Stores data in columns, not nested structures.
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