Michael,
Part of the nodes are not users but people that users know, lets say by
email, those nodes have only one property. Actual users number is around 20
millions, and estimated each user has 100-200 friends while part of them are
users and part are 'simple nodes'. Of course some 'simple nodes'
Dima,
do you have from your current data a distribution curve of friends per user ?
That determines the # of relationships per graph. E.g. when each user has about
50 friends (unidirectional) in average, that makes 100 billion relationships in
the graph.
So, not the # of nodes is the limiting
Johan,
Thanks for your answer.
The graph represents a social network, where users are friends of other
users (followers and following). Each node has a name and is connected to
other users (his friends), so the relationship is
user-is-a-friend-of-another-user. Each relationship has a nickname, by
Hi,
This will depend on types of queries, access patterns and what the
data look like. Could you provide some more information on what the
data look like, specifically relationships traversed and properties
loaded for a query?
Regarding adding another machine to an already active cluster it is
ea
Dear list members,
I am building a Neo4J cluster that should hold around 2 billion of nodes
with ~5 billion properties. Data will be mostly accessed for read, about
90/10.
Around 200,000 concurrent users will require mostly/read access to the
database.
To translate it to number of queries is up t
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