

dbplyr
Database (DBI) backend for dplyr
dbplyr is the database backend for dplyr that lets you work with remote database tables using dplyr syntax. It automatically translates your R code into SQL, eliminating the need to write SQL queries directly.
The package provides lazy evaluation, meaning queries are only executed when you explicitly request results, which improves performance when working with large databases. It integrates seamlessly with the DBI package ecosystem and supports standard dplyr operations like filtering, grouping, and summarizing on database tables. You can preview generated SQL queries before execution and work with databases as if they were local data frames.
Contributors

Hadley Wickham
Chief Scientific Officer

Lionel Henry
Senior Software Engineer

Edgar Ruiz
Senior Software Engineer

Simon Couch

Christophe Dervieux
Senior Software Engineer

Davis Vaughan
Principal Software Engineer

Mine Çetinkaya-Rundel
Senior Developer Advocate

Carson Sievert
Principal Software Engineer

Joe Cheng

Jeroen Janssens
Head of Developer Relations

Garrick Aden-Buie
Senior Software Engineer
