Yes, I am planning on switching to use Google Maps API instead but however
I was just curious if anyone has dealt with more than (let's say) 500
markers or more in the past and how quick was it for the map to load


On Tue, Aug 12, 2014 at 6:02 PM, Andrew Gallant <agall...@google.com> wrote:

> Batch geocoding your points should speed up the load time all by itself.
>  The layers that article talks about are not available through the
> Visualization API's Map visualization; you would need to use the Google
> Maps API to have access to the layers.
>
>
> On Tuesday, August 12, 2014 6:26:15 PM UTC-4, Sofiya Niaz wrote:
>>
>> Hi Andrew and Carlos,
>>
>> Thanks for your input. Is it possible that the map load time could be
>> reduced to a minute or so by using geocoding service and have the server
>> load it by using Fusion tables as specified here
>> <https://developers.google.com/maps/articles/toomanymarkers>. This is
>> considering that there are more than 400 markers that we want to load.
>> Please let me know if in your experience this has been a possibility.
>>
>> Thanks !
>>
>> On Thursday, August 7, 2014 6:38:44 AM UTC-5, Carlos Moreira wrote:
>>>
>>> Hi!
>>> Like Andrew already said, it's better to geocode the addresses first.
>>> If you use coordinates instead of text strings as the location data, the
>>> markers will load much faster.
>>>
>>> Like they in the documentation:
>>>
>>> The fastest modes are dataMode='regions' with locations specified as
>>> ISO codes, and dataMode='markers' with lat/long enties. The slowest
>>> mode is dataMode='markers' with a string address.
>>>
>>>
>>>
>>> On Wednesday, August 6, 2014 6:52:28 PM UTC+1, Sofiya Niaz wrote:
>>>>
>>>> Hi,
>>>>
>>>> I recently was trying out the Maps feature that is available on Goolge
>>>> Charts API. I understand that it has 400 points as the maximum that it can
>>>> display. However it takes really long for the map to load. More than 15
>>>> minutes. I send in street addresses to plot the markers. Is there a way to
>>>> speed up the load time?
>>>>
>>>> Thank you!
>>>>
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-- 
Sofiya Niaz
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http://sofiyaniaz.wordpress.com/

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