Very slow performance. Numbers is pokey, that's for sure.

I'm mainly interested in using this thread to see how many others feel the same way; that Numbers is slow in general. At least on my machine it is. I get much better performance from the ancient MS Excel 2000 running in Windows XP via Parallels on the same machine. And XP is running in less than 400 megs of RAM!
I know it's a 1.0 release, but scrolling, opening .csv files, formatting multiple columns, all are slower than my old MS Excel. Given that Parallels is not multi-core aware, is virtualized, is running an 8 year old version of Excel, and is running in less than half the available RAM, I really expected Numbers running natively to make a better showing for itself.

Forget the unfair comparisons to excel, numbers can't even keep up with AppleWorks!
I have a spreadsheet in Apple Works that I use to track revenue and profit for my business. I enter two numbers per day: Total Sales and Total Profit. There are 6 calculation columns that display 7 and 28 day running averages for sales, profit and margin each day. The spread sheet is about 1400 rows (one row per day). No special formatting, no formulas more complicated than if(), sum() and average().
In Appleworks:
Data entry: instant - as fast as I can type.
Create a line chart on 6 columns and 1400 rows: 5 seconds
Memory usage: 11 MB
In Numbers:
Data entry time: Spinning beachball for ~10 minutes after each keypress (yes, REALLY)
Create chart: Unknown, maybe not possible. (Still waiting after 1 hour of spinning beach ball and 100% processor usage)
Memory usage: 1009MB (yes, ONE GIG), plus 2GB VM file (!!!).
I mean, how sad - ONE HUNDRED times more memory usage and over ONE HUNDRED tomes SLOWER. Absolutely terrible. If I were the engineer on this project I would be absolutely ashamed of the performance.

Similar Messages

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    Hello There
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    HAGAI

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    Owen

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             ag_city TYPE kna1-ort01,
             ag_state TYPE kna1-regio,
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             we_name2 TYPE kna1-name2,
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             we_city TYPE kna1-ort01,
             we_state TYPE kna1-regio,
             we_zip TYPE kna1-pstlz,
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