Aliabbas,
There is no general performance statement for large stores.
The performance is dependend on the structure of your graph and the typical
operations/use-cases you
want to perform.
Also underlying hardware (RAM, disk, IO) and JVM play important roles.
The most sensible thing to do is
Great Michael!
can you share with us the performance evaluation results with code of
the 32 billion nodes and relationships. This be a great proof for
neo4js high performance.
On 7/17/11, Michael Hunger wrote:
> with "huge" database you mean that you want to shard the graph?
>
> And how large
with "huge" database you mean that you want to shard the graph?
And how large is your database? Please note that neo4j can handle 32 billion
nodes and relationships in a single instance.
If your database is larger than that you have to apply some kind of domain
level sharding.
(See Jims articl
Hi all,
I would like to know if it is possible to use neo4j in a distributed system.
If it is possible, are there any guides or tutorials how to realize that?
For my huge database it would be nice to use it in distributed system.
Thanks for your help,
Stephan
_
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