Hi!

I think the mailinglist removed the attached slides.
Could you post a link instead?

/anders

On 06/29/2011 08:15 PM, venkat takumatla wrote:
> I did some experiments on four graph database systems: neo4j, DEX,
> infinitgraph, orientDB.
> I think it might help you. I used very small graph  for evaluation when
> compared to yours. You
> can find the results from my experiment in 7th slide.  I ran pagerank for
> ranking nodes and SCAN for clustering nodes.
> Don't mind if something is wrong in it.
>
>
>
> Venkat
>
>
>
> On Wed, Jun 29, 2011 at 12:54 PM, Aliabbas 
> Petiwala<[email protected]>wrote:
>
>> greetings neo4j folks!
>>
>> we would really like to go for neo4j for our social networking website but
>> we are still not convinced about the scalability and concurrency of neo4j
>> considering that it may have to deal with billions of  peta bytes of data.
>> a
>> massive write load on master is predicted due to millions of users updating
>> their status \ other information.
>>
>> infinitegraph.com  claims high scalability and distributed servers whereas
>> neo4j constrains us on a single database and the  master seems to be the
>> bottleneck in writes.
>>
>>   have any tests or simulations being performed on neo4j to gauge its
>> efficiency and fault tolerance in large scale systems on the scale of
>> facebook and twitter?
>>
>> orientdb is also promising since its open source but has only native
>> support
>> for graphs and has no spatial features which we require.
>>
>> hope neo4j folks convince us before we take a major decision of choosing
>> the
>> right graph db . we are also open to polyglot persistence involving a
>> combination of neo4j, orientdb and cassandra is it wise to go for such a
>> combination ?
>>
>> --
>> Aliabbas Petiwala
>> M.Tech CSE
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>>
>
>
>
>
>
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