# R: reading big data files in R

In R, there are libraries which help speed up the process of reading huge data files. Examples of these libraries include sqldf and ff.

If their is no disadvantage of using them to read small files, does this mean functions such as read.csv might not have much use in future given the emerging big-data-targeted readers?

• sqldf creates a database, imports the data and then deletes the database. Seems like a lot of work for a small csv file – oW_ Aug 16 '17 at 0:24

In R many great improvements are typically made by creating new libraries rather than changing the actual functions in base R itself. datatable, read_csv in readr, tibbles, etc are very good examples.