Uses "pointer chasing" to traverse nodes and edges. Each hop requires a separate memory lookup, which slows down significantly as the network grows.
#GraphDB #DataScience #OpenSource #FalkorDB #Neo4j #AIInfrastructure 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
A new open-source player, , just dropped a bombshell: it’s 496x faster than Neo4j. Uses "pointer chasing" to traverse nodes and edges
It processes thousands of paths at the same time instead of hopping through memory.
Represents the entire graph as a sparse matrix . It translates complex traversals into parallelized linear algebra operations (matrix multiplication), allowing the CPU to process multiple paths simultaneously. Sample Post for "496x" If you are looking to share this update, Headline: Is Neo4j finally being challenged? 🚀