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Daily Dose of Data Science | Avi Chawla | Substack

Graph traversal queries expose a key weakness in relational databases: recursive CTEs and self-joins become unreadable and slow beyond 1-2 hops. FalkorDB addresses this by using GraphBLAS, a linear algebra framework that represents graph traversals as sparse matrix operations rather than pointer-chasing. This enables better cache behavior, parallel computation across hops, and sub-millisecond latency on deep multi-hop queries. FalkorDB uses openCypher, so developers familiar with Neo4j can adopt it without learning a new query language. It also integrates with Snowflake as a Native App, allowing users to load relational tables into a graph and query with Cypher.

Relational DBs vs FalkorDB

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