Final answer:
Key value stores, like Redis, are indeed designed to handle complex structured objects. NoSQL databases excel at large data sets, contradicting the incorrect statement provided. Document stores often have SQL-like query abilities, and SQL databases are relational by nature.
Step-by-step explanation:
The correct statement out of the options provided is that key-value stores like Redis are designed to manage complex structured objects. NoSQL databases, contrary to one of the statements, are in fact highly effective for dealing with large data sets. They offer scalability and performance benefits that make them suitable for big data applications and real-time web apps. Document stores, another type of NoSQL database, often provide SQL-like query capabilities, though the exact syntax and functionality may differ from traditional SQL. Therefore, it is not accurate to say that document stores do not offer SQL-like capabilities. As for SQL databases, they are indeed relational, and this is a defining property differentiating them from NoSQL databases, which are generally non-relational. Hence, understanding the capabilities and design goals of various database types is essential for selecting the right technology for a specific use case.