Strongly Typed DataSet Vs Un-Typed Dataset

[Job Lot]

I am confused how strongly typed dataset is different from un-typed dataset.
Is there any good link explaining pros and cons of both? Which one should be
used preferably?

[Cor Ligthert]

Job,

A strongly typed dataset is not different from an untyped dataset.

It is still the same dataset.

Although a strongly typed has some methods and properties in it that helps
to make it more describing, does it still inherits from dataset. It has
never more performance then if you use an untyped datasets with the same
methods.

What you want to use is mostly a matter of preference. An objective to
choose that can be how much your team is. How much the experience in the
team is. etc etc.

I am forever confused by the by VSNet generated strongly typed dataset
because of the names that those use and prefer therefore normally the
untyped dataset. (However, just my preference).

A little extra problem is that a "generated" strongly typed dataset is not
easily to change, it is forever renewed, so when you do yourself some
additions to it, than you loose those when there has to be changed something
and generates than a new strongly type dataset and your additions are gone.

Most is just my thought,

Cor