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You are confusing data structures with data containers. Data containers include arrays, vectors, lists, and binary trees, to name but a few. The one thing they have in common is that they are all aggregates of homogeneous types. By contrast, a data structure is an aggregate of heterogeneous types.

As to which data container offers the fastest insertion, the reason we have so many container types in the first place is simply because there is no one container that gives optimal performance in all cases. If we need to insert at the back of a container, we will typically use a vector (a variable-length array). If we need to insert at both the back and the front of a container, we will typically use a list. If we need to maintain sorted order, we will typically use a binary tree.

However, these are merely guidelines. The only way to determine which container gives the best performance in any given application is to conduct your own performance tests. Remember also that containers are used for more than just insertion, so choosing a container based solely upon its insertion performance may not be the best option overall.

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