The final factor to compare database platforms for normalization is the storage and performance implications of your design choices. Normalization and denormalization can affect how much space your data occupies, how fast your queries run, and how easy it is to update your data. Different database platforms may have different storage engines, optimization techniques, or tuning parameters that can influence these aspects. For example, MySQL has several storage engines, such as InnoDB, MyISAM, or Memory, that have different features and characteristics, such as transaction support, locking mechanisms, or indexing methods.
Normalization is an important concept in database development, but it is not a one-size-fits-all solution. Different database platforms may have different advantages and disadvantages for normalization, depending on your data and requirements. To compare database platforms for normalization, you need to consider the normalization rules, denormalization options, data types and constraints, and storage and performance factors that they offer.