Both are correlation searches that will ultimately produce notable events. What they search is completely up to you. Using a data model typically means the data you think the notable event occurs in, has been normalized to the model. Using regular indexed data can be slower on performance, but not necessarily. Imagine querying a very large data model versus a very small index, or even a small lookup table. One will be faster but both could be "enriched/normalized" with different fields.