There is a limit of 100,000 geocoded rows in a single table.

So that is a fundermental limitation. It will also only render a
limited amount of data in a single tile (500 features?) - so in heavy
populated areas, features wont show.

(also 100Mb of data per table, and 250Mb per account. Which makes
working with large datasets hard.)


Also there isn't 'clustering' as such. It just tries to plot all
features. Although you do have the heatmap option, which is a sort of
clustering - but does end up obscuring the map with large datasets.

- I would say Fusion tables, is for small or medium datasets - not
large ones - currently.



(I use geocubes - with a dataset of 2.1M features, so that does scale
to large datasets! Note I am only a user, not an affiliate!)



And KML definitly wont cope with this - at least on Google Maps (1000
features is a practical limit - but can do slightly more). KML can
however be used for Google Earth - as can use regions to make a
SuperOverlay/SuperLayer.


On Mon, Mar 5, 2012 at 2:28 PM, Henri Cammiade <henri.cammi...@gmail.com> wrote:
> Excellent, thanks for the advise. Probably server side clustering would be
> more suitable as all the results need to "be" there. However, what about KML
> overlays or Fusion tables? Has anybody had much experience with either of
> these and can comment on the performance?
>
> Thanks,
> Henri
>
> -----Original Message----- From: Barry Hunter
> Sent: Monday, March 05, 2012 2:22 PM
> To: google-maps-js-api-v3@googlegroups.com
> Subject: Re: [Google Maps API v3] Re: Performance scaling google maps
> application
>
>
> btw, that is only one approach.
>
> Doing server side 'clustering' might be better suited (rather than
> just picking a sample). There are various ways to do that.
> https://www.google.com/search?q=server+side+clustering+google+maps
>
> Or you can just outsource it
> http://geocubes.com/
> one of a few sites offering it :)
>
>
> On Mon, Mar 5, 2012 at 2:17 PM, Barry Hunter <barrybhun...@gmail.com> wrote:
>>
>> Here is a map that does that
>> http://wales.portal.geographs.org/map.php?view=thumbs
>>
>> Ok, that particular map is not using millions of markers, but the same
>> technique works for bigger datasets. (I just dont have any big
>> datasets using v3 of the maps api)
>>
>> The biggest issue is deciding which features to show as the 'sample'.
>> Picking random works reasonably well. But there are more elaborate
>> ways of doing it. You could perhaps pick the top rated (if your
>> dataset has that)
>>
>> On Mon, Mar 5, 2012 at 1:58 PM, Henri Cammiade <henri.cammi...@gmail.com>
>> wrote:
>>>
>>> Yes. Obviously it is pointless displaying markers in areas half way
>>> around
>>> the world to the view port. The DB has millions of locations - what is
>>> the
>>> best way to build the gmap for high performance of loading initial
>>> markers
>>> and for loading additional markers on pan/zoom.
>>>
>>> Thanks
>>>
>>> On Mar 5, 2012 3:16 AM, "Rossko" <ros...@culzean.clara.co.uk> wrote:
>>>>
>>>>
>>>> > I'd like to know what are the best strategies and practises to use
>>>> > when building a google map that has millions of markers.
>>>>
>>>> Go back a step and re-examine your needs.  A viewer isn't goimg to get
>>>> much value out of a map with millions of markers on it, so you could
>>>> perhaps think about what you want to actually show at any given time
>>>> (perhaps from an available pool of millions of markers)
>>>>
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