496x faster alternative to Neo4j…(open-source) | Avi Chawla
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? 🚀
Traversing "friends-of-friends" becomes a single parallelized operation ( It processes thousands of paths at the same
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. Each hop requires a separate memory lookup, which slows down significantly as the network grows. Headline: Is Neo4j finally being challenged?
It processes thousands of paths at the same time instead of hopping through memory.
While traditional Graph DBs "chase pointers" node-by-node (sequential and slow), FalkorDB treats your graph as a sparse matrix . It processes thousands of paths at the same
A new open-source player, , just dropped a bombshell: it’s 496x faster than Neo4j.