Recommendations for database with R [closed]

Answer 1

Quick comments:

• R is good at this, as a language for programming with data, there are plenty of interfaces
• There is an entire manual devoted to data import/export, and it has a section on relational databases, so start there.
• R has the widely-used DBI package which provides a unified interface for many backends, among them SQLite, MySQL, PostgreSQL, Oracle, ... Use that, maybe with RSQLite to get something going quickly. You can still switch backends afterwards.
• There is also RODBC but I find ODBC tedious to work with.
• R also has a specialised variant in the TSdbi package by Paul Gilbert which brings the DBI-alike abstraction to timeseries databases. It also supports multiple backends.
• The data.table package was written for this and is very fast on indexing and aggregation.