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--
Chris Vest
System Engineer, Neo Technology
[ skype: mr.chrisvest, twitter: chvest ]


> On 14 Jul 2015, at 23:18, Zongheng Yang <zonghen...@gmail.com> wrote:
> 
> Hi All,
> 
> I've been reading up on neo4j's scaling features, and would love to confirm 
> with some devs about the following:
> 
> 1. Is it correct that neo4j's scale-out feature (HA) is NOT available in the 
> community version (I'm using 2.2)?  This is an easy one from the docs, but 
> just wondering if there's any latest change of plans.

Yes, HA is one of the main selling points of the enterprise edition.

> 
> 2. Focusing on reads -- is it correct that HA (the scale-out features) would 
> only improve read throughput, but not read latency?

Correct in the sense that going from 1 to 3 machines could take 3 times the 
read workload for the same latency. On the other hand, a 66% reduction in 
workload per machine could also improve latency, depending on the workload.

> 
> 3. Does neo4j support scaling up (e.g. use more threads on a single physical 
> machine) to either improve throughput, or improve query latency?  (I'm using 
> 2.2 community version in Java embedded mode.) 

Yes. Having more cores means Neo4j will allocate more threads to process 
queries and transactions. It also coalesces transactions that commit 
concurrently, to reduce the overhead of the individual transaction at commit 
time.

> 
> Thanks in advance -- any pointers are greatly appreciated.
> 
> Zongheng
> 
> 
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