In terms of scalability, reliability and performance? And what are your thoughts about implementing a graph inside e.g. PostgreSQL or Cassandra?
The graph will contain roughly about 150.000 vertexes, around 50.000 of those are highly connect between the other 100.000, expecting around 2.500.000 edges in between. The 100.000 vertex will almost all be updated daily. The graph will be used for OLTP workloads, expecting around 10 q/s. Queries will resolve the similarity (one-to-many).
The graph will contain roughly about 150.000 vertexes, around 50.000 of those are highly connect between the other 100.000, expecting around 2.500.000 edges in between. The 100.000 vertex will almost all be updated daily. The graph will be used for OLTP workloads, expecting around 10 q/s. Queries will resolve the similarity (one-to-many).