What does data redundancy refer to?

Data redundancy specifically refers to the practice of storing the same data in more than one location. This can occur within a single database or across multiple databases. The intent behind this can vary; for instance, redundancy might be implemented to improve data retrieval speeds or enhance data reliability in case of failure. However, excessive redundancy can lead to inconsistencies and increased storage costs.

Using multiple databases typically refers to the architecture of managing data across various systems rather than the act of duplicating data itself. Back-up storage of data is primarily focused on safeguarding information against loss due to failures or disasters rather than duplicating data in an unnecessary manner. Storing data in a cloud system pertains to the medium of storage and does not directly address whether the same data exists in multiple locations.