Say I offer user to check off languages she speaks and store it in a db. Important side note, I will not search db for any of those values, as I will have some separate sear
Premature optimization is the root of all evil.
EDIT: Apparently the context of my observation has been misconstrued by some - and hence the downvotes. So I will clarify.
Denormalizing your model to make things easier and/or 'more performant' - such as creating concatenated columns to represent business information (as in the OP case) - is what I refer to as a "premature optimization".
While there may be some extreme edge cases where there is no other way to get the necessary performance necessary for a particular problem domain - one should rarely assume this is the case. In general, such premature optimizations cause long-term grief because they are hard to undo - changing your data model once it is in production takes a lot more effort than when it initially deployed.
When designing a database, developers (and DBAs) should apply standard practices like normalization to ensure that their data model expresses the business information being collected and managed. I don't believe that proper use of data normalization is an "optimization" - it is a necessary practice. In my opinion, data modelers should always be on the lookout for models that could be restructured to (at least) third normal form (3NF).