496x

Traversing "friends-of-friends" becomes a single parallelized operation (

Uses "pointer chasing" to traverse nodes and edges. Each hop requires a separate memory lookup, which slows down significantly as the network grows.

It processes thousands of paths at the same time instead of hopping through memory.

A new open-source player, , just dropped a bombshell: it’s 496x faster than Neo4j.

According to technical breakdowns by experts like Avi Chawla and Akshay Pachaar , the performance gap comes from how data is processed:

For anyone building or real-time AI agents, this level of latency reduction could be a game-changer.

496x faster alternative to Neo4j…(open-source) | Avi Chawla