Thanks for your update.

I believe, one day you will consider 1 billion data as a light wight for
the client programming :-)





On Wed, Dec 7, 2011 at 6:45 PM, Roni Biran <[email protected]> wrote:

> well..... since it's a client based issue I can only say that this is a
> function of the hardware you're using.
> If you have a very large datatable the chart rendering will be the same.
> You must take into account the chart type you're using, for instance, if
> you're drawing a line/area chart there is no need/significance to a
> datatable larger than, let's say, 2000 rows since you a large chart to see
> all items. That's the same with other charts.
> You can load a very large datatable, either by JSON/Ajax/Spreadsheets or
> other database connections and modify/query it for chart usage, via
> grouping or dataviews generation.
>
> I, for instance, use a complex data (multi-level array) structure and
> before drawing, I create a datatable with all that I need. At the end, I
> managed to scale my data from 25,000 rows into 1,000. It's much more
> efficient and fast.
>
> You might want to think on your data before dropping large scale data.
> Just a reminder, this is client side programming, and everything must be
> light weight, even the data.
>
>
>
>
> On Wed, Dec 7, 2011 at 2:14 PM, [email protected] <
> [email protected]> wrote:
>
>> Awesome work. Google always keeps us Googled.
>> I would like to know how much of data can this visualization can
>> support.
>> Is it bench marked?
>> can it support billion data ?
>>
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