Similar issue on my side as well. Test data is ok, but production data  
(100 million+ objects, 200 relationships per object and 10 properties  
per object, with multi-million queries per day about search and  
traversal) would need clear disk sizing calculations due to iops and  
other hardware limits in a monolithic storage model.

Has anyone been able to use neo4j succeessfully in scaling needs  
similar to mentioned avove?

-b

On Jun 7, 2010, at 4:45 AM, Craig Taverner <[email protected]> wrote:

>> Is there a specific constrain on disk space? Normally disk space  
>> isn't
>> a problem... it's cheap and there's usually loads of it.
>>
>
> Actually for most of my use cases the disk space has been fine.  
> Except for
> one data source, that surprised me by expanding from less than a gig  
> of
> original binary data, to over 20GB database. While this too can be  
> managed,
> it was just a sample, and so I have yet to see what the customers  
> 'real
> data' will do to the database (several hundred times larger, I'm  
> expecting).
> When we get to that point we will need to decide how to deal with it.
> Currently we 'solve' the issue by allowing the user to filter out  
> data on
> import, so we don't store everything. This will not satisfy all users,
> however.
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