i have this idea to improve performance , If we use graph database
with in-memory storage with distributed architecture it give very fast
performance for real time application . I think if graph database uses
in-memory data grid like hazelcast , gridgain then it can possible.
Its just an analysis of an graph databases .

On 6/4/15, Rik Van Bruggen <[email protected]> wrote:
> You say that, but with the different caching mechanisms of Neo4j (where you
> can load the store files in the memory etc) I think you are not necessarily
> correct. In-memory caching of an on-disk database is often a much better
> option.
>
> BTW you did not answer my question about the need for "distributed". Why is
> that?
>
> Rik
>
> On Thu, Jun 4, 2015 at 4:07 PM, Mahesh Wabale <[email protected]>
> wrote:
>
>> For faster execution  with keeping all graph database in RAM , if it
>> works successfully then it gives very good performance as compare to
>> local/on disk  database.
>>
>> On 6/3/15, Rik Van Bruggen <[email protected]> wrote:
>> > Why do you need it to be distributed and in-memory, would be my
>> > question?
>> >
>> > On Tuesday, June 2, 2015 at 11:18:14 AM UTC+2, Mahesh Wabale wrote:
>> >>
>> >> Hello Everyone ,
>> >>
>> >>
>> >> I am looking for an distributed in-memory graph database is it
>> >> possible
>> >> with neo4j ?
>> >>
>> >>
>> >> Thanks in advance .
>> >>
>> >
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>
>
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