Uses "pointer chasing" to traverse nodes and edges. Each hop requires a separate memory lookup, which slows down significantly as the network grows.
For anyone building or real-time AI agents, this level of latency reduction could be a game-changer. Uses "pointer chasing" to traverse nodes and edges
A new open-source player, , just dropped a bombshell: it’s 496x faster than Neo4j. Uses "pointer chasing" to traverse nodes and edges
Traversing "friends-of-friends" becomes a single parallelized operation ( Uses "pointer chasing" to traverse nodes and edges
While traditional Graph DBs "chase pointers" node-by-node (sequential and slow), FalkorDB treats your graph as a sparse matrix .
#GraphDB #DataScience #OpenSource #FalkorDB #Neo4j #AIInfrastructure
496x faster alternative to Neo4j…(open-source) | Avi Chawla