What is one major impact of design choices in database development?

In database development, design choices have a critical impact on the overall functionality and performance of the system. When creating a database, choosing the right data models, normalization levels, indexing strategies, and relationships between tables can greatly enhance how effectively the database operates. These design decisions can lead to faster query processing, streamlined data retrieval, and more efficient data storage.

For example, a well-normalized database minimizes data redundancy and improves data integrity, which results in better performance during data operations. Implementing proper indexing can accelerate query performance, allowing for quicker access to records. Thus, good design translates into a system that not only meets user requirements more effectively but also provides a smoother and more efficient user experience.

In contrast, other choices, while they may represent considerations in database design, do not encapsulate the overarching impact on performance and functionality in the same comprehensive manner.