Is R+bigmemory package sufficient for column-oriented data management?
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I have a collection of financial time series of various sorts. Most of my analysis is either a column or a row oriented, very rarely I have to do any sort of complex queries. Also, I am (by now) doing almost all analysis in R. 

Because of this, I am seriously considering not deploying any sort of RDBMS and instead managing data in R directly (saving RDS files). This would save me the pain of installing an administering a DB as well as probably improve the data loading speeds. 

Is there any reason I should consider otherwise? Do you know anyone who manages their data this way? I know this is vague, but I am looking for opinions, not answers.