The term "data repositories" exclusively refers to RDBMs and NoSQL databases that are used to collect, organize, and isolate data for analytics.

The statement that "data repositories" exclusively refers to RDBMs and NoSQL databases is inaccurate because the term encompasses a broader range of storage solutions. While RDBMS (Relational Database Management Systems) and NoSQL databases are indeed important types of data repositories, they are not the only ones. Data repositories can also include data lakes, data warehouses, cloud storage solutions, flat files, and other formats where data is stored and managed for analytical purposes.

Each of these options serves different use cases and can work individually or in conjunction with one another. For example, data lakes are often used for storing unstructured data at scale, which allows for flexible analytics and big data processing. Furthermore, other platforms such as document stores, graph databases, and even simple spreadsheets can be viewed as data repositories under the right context.

By recognizing that the term “data repositories” includes a variety of technologies and methods for storing data, it becomes clear that the initial statement is misleading, validating the assertion that the statement is false.