Which statement correctly describes the nature of row insertion in Azure Table Storage?

The statement indicating that row insertion in Azure Table Storage is fast, regardless of the amount of existing data, accurately reflects the efficiency of this service. Azure Table Storage is designed as a highly scalable NoSQL datastore, allowing for quick operations like insertions due to its underlying architecture. Each table is partitioned, and operations are primarily performed on partitions, enabling Azure to handle high throughput efficiently.

This means that even as the volume of data within a table increases, the performance for inserting new rows remains consistent and fast. The system leverages this partitioning to distribute load evenly, allowing simultaneous operations across multiple partitions, which enhances the speed of data insertion.

In contrast, while structured formats might facilitate certain types of queries or data organization, they are not a prerequisite for row insertion. The notion of slowness and time consumption associated with data insertion is misleading, as Azure Table Storage optimizes these operations for performance. Lastly, although external factors like network speed can affect database performance in general, they do not define the inherent capability of Azure Table Storage to perform fast row insertions under normal operational conditions.