Nassim Haddad nassimhaddad

## dplyr-backends.md

      
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              August 4, 2016 14:01
                — forked from piccolbo/dplyr-backends.md
            
              
                Dplyr backends: the ultimate collection
              
          
    Dplyr is a well known R package to work on structured data, either in memory or in DB and, more recently, in cluster. The in memory implementations have in general capabilities that are not found in the others, so the notion of backend is used with a bit of a poetic license. Even the different DB and cluster backends differ in subtle ways. But it sure is better than writing SQL directly! Here I provide a list of backends with links to the packages that implement them when necessary. I've done my best to provide links to active projects, but I am not endorsing any of them. Do your own testing. Enjoy and please contribute any corrections or additions, in the comments.


Backend
Package


data.frame
builtin


data.table
builtin


arrays
builtin


SQLite
builtin


PostgreSQL/Redshift
builtin


## 0_reuse_code.js
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console
Backend	Package
data.frame	builtin
data.table	builtin
arrays	builtin
SQLite	builtin
PostgreSQL/Redshift	builtin
	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console