#Gitx vs sourcetree update

While data-driven game engines are a convenient example, many applications have a similar relationship: Recently, there is another option: Git Large File Storage (Git LFS for short). (Notably, there are still features unique to Perforce that make it particularly effective in these types of projects, but we’ll leave that for another day and another post.) Historically, this need has been met with specialized version-control software like Perforce. For these data-driven applications, the data is the behavior, requiring all the care and attention typically paid to code.īecause of this tight coupling between data and the code interpreting it, versioning the two together becomes critical to maintaining this relationship over time: as the code changes, the data changes, and vice-versa.

#Gitx vs sourcetree update

(Not to be confused with the UX paradigm, nor domain-driven design) (For a more concrete example, check out the entity-component-system architecture for game engines.)įor our earlier examples, the relationship between data and behavior is loose, and it’s managed equally loosely, with “migrations” to update the database schema as the various data-access models change over time. In game development this is often referred to as data-driven design or data-oriented design. Some applications, on the other hand, require data to function. While they require data to be compelling, their core behavior still exists without it, and users can continue to use the software to add interesting data. That said, all of these examples-and most web applications in general-defer responsibility of that data to a database like Postgres. Facebook, GitHub, and Dropbox are not very compelling without the data they manage, and Rails wouldn’t be near as widely used without ActiveRecord (or some equivalent). To some extent, all software is obsessed with data.