I'm currently trying to do analysis on a 565k record database of Philadelphia's property assessments. I read the Data Import/Export .pdf and am still conflicted about which DBMS I should use to maintain reliability and ensure I don't crash while trying to do my calculations. Should I go with PostgreSQL for the option of Proxy Data Frames or should I go with MySQL for the "lean and mean" approach? Note that'd I'd be using it on a Windows 98 OS. Any input would be much appreciated and thank you in advance. -Brian Cole Staff Researcher Center for the Study of Economics -------------- next part -------------- An HTML attachment was scrubbed... URL: https://stat.ethz.ch/pipermail/r-help/attachments/20021119/7d899f83/attachment.html
Which DBMS to use?
2 messages · Brian Cole, Brian Ripley
I think we only currently have the options of RMySQL and RODBC under Windows.
On Tue, 19 Nov 2002, Brian Cole wrote:
I'm currently trying to do analysis on a 565k record database of Philadelphia's property assessments. I read the Data Import/Export .pdf and am still conflicted about which DBMS I should use to maintain reliability and ensure I don't crash while trying to do my calculations. Should I go with PostgreSQL for the option of Proxy Data Frames or should I go with MySQL for the "lean and mean" approach? Note that'd I'd be using it on a Windows 98 OS. Any input would be much appreciated and thank you in advance. -Brian Cole Staff Researcher Center for the Study of Economics
Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._