LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (July 2000, week 2)Back to main SAS-L pageJoin or leave SAS-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Wed, 12 Jul 2000 19:59:20 GMT
Reply-To:     joe17836@MY-DEJA.COM
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         joe17836@MY-DEJA.COM
Organization: Deja.com - Before you buy.
Subject:      Re: INSERT SASDATASETS into ORACLE Tables

In article <20000712175106.47124.qmail@hotmail.com>, sashole@mediaone.net wrote: > John, > > Welcome to the wonderful world of the stellar Oracle performance! I hope it > is worth those M$$ that migrated to the Oracle coffers. On a constructive > note, please let me suggest that you should read the excellent SUGI 25 paper > by our fellow sasler Dianne Rhodes "Migrate to ORACLE? I need my SAS > Software!"? Suffices it to say that its conclusion consists of but a single > sentence: "Stick with SAS". > > Kind regards, > ==================== > Paul M. Dorfman > Jacksonville, Fl > ==================== >

Paul,

Perhaps you know something about John's situation that I don't so my comments should be read with that in mind. I will say I agree that migration to Oracle is very expensive and, in many cases where the business already uses SAS, unnecessary.

As far as proc dbload-ing data into Oracle goes, I have found that dbload is rather inefficient as compared to, say, SQL*Loader which should be able to handle loading 10,000,000 records in MUCH less time than 24 hours. However, when pulling data out of Oracle, I have found just the opposite -- SAS compares very well to and in some cases performs better than other solutions such as "spooling", the PL/SQL utl_file package, and Pro C.

Also, I am curious. Do you find that SAS can deal with very large amounts of data as well as Oracle can? (I have no specific number in mind when I say "large".) I have always been under the (admittedly vague) impression that, for sheer speed in storing/processing very large amounts of data, Oracle is superior. I realize that this all depends on how the data is organized, indexed, etc.

Understand that I am asking these questions as a longtime user and proponent of SAS. I am simply curious about your experience.

Thank you.

Sent via Deja.com http://www.deja.com/ Before you buy.


Back to: Top of message | Previous page | Main SAS-L page