Thanks Michael. 
We are experimenting the Neo4j Community Edition 2.3.1 with 1 write thread 
and multiple read-only threads. We have just one LOAD CSV session regularly 
writing into Neo4j and multiple concurrent sessions reading Neo4j data. We 
also have more then 4 cores on the server where Community Edition is 
deployed. We do not notice any performance impact with more than 4 cores.
Q1: Given our use-case, is there a limit on cores that can be used on 
Community Edition before we can expect to see a performance degrade?
Q2: Given our use-case, is there a legal limit on cores that can be used on 
Community Edition?
Q3: Can we expect a performance improvement if we simply migrate to Neo4j 
Community v3.0?

rgds, 

On Wednesday, June 15, 2016 at 10:17:08 PM UTC-7, Michael Hunger wrote:
>
> The enterprise edition has a lock manager and some other infrastructure 
> that scales linearly across cores. Community levels off more after 4 cores. 
>
> Von meinem iPhone gesendet
>
> Am 16.06.2016 um 05:17 schrieb Santiago Videla <[email protected] 
> <javascript:>>:
>
> Thanks Michael. I also thought about disk performance after I sent the 
> email but is good to have a confirmation that is unrelated to 
> community/enterprise edition. Still, apart from the import tool, I will 
> appreciate if you could clarify me what does it mean that the community 
> edition "scales up to 4 cores"? Having more than 4 cores just doesn't help 
> to the community edition or it could actually yield a worse performance? 
> What about available memory? more is always expected to be better?
>
> Regards,
>
>
> On Wed, Jun 15, 2016 at 9:51 PM, 'Michael Hunger' via Neo4j <
> [email protected] <javascript:>> wrote:
>
>> You can provide the number of processors to the import tool.
>>
>> I presume it's mostly your disk performance.
>>
>> The import tool is unrelated to the enterprise core scalability.
>>
>>
>>
>> On Tue, Jun 14, 2016 at 10:38 PM, Santiago Videla <[email protected] 
>> <javascript:>> wrote:
>>
>>> Hi,
>>>
>>> I'm using Neo 3.0.2 community edition and running the import tool I just 
>>> found that on a machine with 4 cores and 32GB of RAM the import is actually 
>>> ~2x faster than on another (virtual) machine with 38 cores and ~60GB of RAM.
>>>
>>> With 4 cores and 32GB:
>>>
>>> Available memory:
>>>   Free machine memory: 16.88 GB
>>>   Max heap memory : 6.97 GB
>>> ...
>>> ...
>>> IMPORT DONE in 1m 32s 624ms. Imported:
>>>   4135534 nodes
>>>   43160516 relationships
>>>   51504726 properties
>>>
>>> With 38 cores and ~60 GB
>>>
>>> Available memory:
>>>   Free machine memory: 24.08 GB
>>>   Max heap memory : 13.14 GB
>>> ...
>>> ...
>>> IMPORT DONE in 2m 45s 299ms. Imported:
>>>   4135534 nodes
>>>   43160516 relationships
>>>   51504726 properties
>>>
>>>
>>> Is this the expected behavior? I found in [1] that the community edition 
>>> scales up to 4 cores (it says for version 2.3 but I assume the same holds 
>>> for 3.0) but with more cores I'd expected at least a similar performance, 
>>> not 2x slower.
>>>
>>> Should I use a machine with maximum 4 cores? Or can I configure Neo4j 
>>> somehow to avoid such a decrease in performance? Also, is there any 
>>> constraint about available memory and how the community edition scales or 
>>> more memory should lead to better performance?
>>>
>>> Regards,
>>>
>>> [1] http://neo4j.com/blog/graphs-to-production-at-scale/
>>>
>>>
>>> -- 
>>> Santiago Videla
>>> http://www.linkedin.com/in/svidela
>>>
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>
>
>
> -- 
> Santiago Videla
> http://www.linkedin.com/in/svidela
>
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