Final answer:
Relational databases store data in tables with predefined schemas, while NoSQL databases allow flexible schemas and can store data in various formats. Relational databases support horizontal scaling better than NoSQL databases. Relational databases are schema-less, whereas NoSQL databases require a fixed schema for data storage.
Step-by-step explanation:
A) Relational databases store data in tables with predefined schemas, while NoSQL databases allow flexible schemas and can store data in various formats.
B) Relational databases support horizontal scaling better than NoSQL databases.
D) Relational databases are schema-less, whereas NoSQL databases require a fixed schema for data storage.
The primary difference between Relational and NoSQL data modeling for databases is that relational databases store data in tables with predefined schemas, while NoSQL databases allow flexible schemas and can store data in various formats. This means that relational databases have a fixed structure, with columns and rows, and require the data to fit into this predefined structure, while NoSQL databases can adapt to changing data requirements and have a more flexible structure.
Relational databases also support horizontal scaling better than NoSQL databases. Horizontal scaling refers to the ability to add more servers or nodes to handle increased data and traffic. Relational databases have well-established techniques for data partitioning and distribution across multiple servers, making it easier to scale horizontally. NoSQL databases, on the other hand, often prioritize flexibility and ease of use over scalability, which can make horizontal scaling more challenging.
Finally, it is incorrect to say that NoSQL databases use SQL for querying data. NoSQL databases have their own query languages or APIs for accessing and manipulating data, which are different from SQL used in relational databases.