Re:Cayley – An open-source graph database
by kaonashi on Wednesday June 25, 2014 @03:53PM
(#7946388)
Neo4j wants everything in memory, so the bottlenecks would come after your data-set size outstrips the memory available.
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Fast disks are also important for write performance since Neo4j syncs every change - big RAID arrays of SSDs help.
Re:Cayley – An open-source graph database
by jmlvanre on Wednesday June 25, 2014 @07:27PM
(#7947330)
This is one place where Log-Structured-Merge systems can really prove themselves. There is rarely a need to sync on every change as most of them are independent. You can usually gain lots of write-throughput by syncing at the speed the hardware is optimized for and squeezing as many append-only changes in to those logs. At Orly we've spent quite some time looking at ways to deal with these bottle-necks.