Managing graph topology efficiently requires map structures that scale linearly. Kùzu utilizes indexing to handle the connections (edges) between entities (nodes). Version 0.12.0 refines these columnar forward and backward star indices. The result is faster structural lookups, ensuring that traversing a graph of hundreds of millions of nodes requires just fractions of a millisecond per hop. 3. Streamlined Native Extensions
The algo.louvain procedure lives in the (see next section).
Kuzu V0 responds poorly to “system: be helpful” — use . kuzu v0 120 better
A major overhaul was implemented for evaluating complex recursive joins (patterns with the Kleene star * ). Prior implementations were slow, but the new engine introduced parallelized execution, dense data structures, and significant memory optimizations. This allowed efficient handling of operations like *1..10 (neighbors 1 to 10 steps away) and SHORTEST paths, which are notoriously expensive for most databases.
Kùzu is built for analytical (OLAP) graph workloads. In v0.12.0, its core query engine utilizes to process data in batches rather than row-by-row, which significantly reduces CPU overhead GitHub - kuzudb/kuzu. The result is faster structural lookups, ensuring that
| Dataset | Query | 0.11.x (avg) | 0.12.0 (avg) | Speed‑up | |---------|-------|--------------|--------------|----------| | Social‑graph (10 M nodes, 50 M edges) | MATCH (p:Person)-[:FRIEND_OF]->(f) WHERE p.age>30 RETURN p.name, COUNT(f) | 4.8 s | 1.8 s | | | E‑commerce (5 M products, 30 M purchases) | MATCH (u:User)-[:PURCHASED]->(p) WHERE p.price>100 RETURN u.id, SUM(p.price) | 3.5 s | 1.1 s | 3.2× | | Graph analytics – PageRank (10 M nodes) | CALL algo.pagerank('Page','LINKS') | 12 s | 4.0 s | 3.0× | | CSV import (200 M rows) | kuzu load … --format csv | 14 min | 5 min | 2.8× |
Kuzu’s support for complex types (STRUCT, MAP, LIST) is a key differentiator. v0.12.0 improves the handling of nested types, allowing you to project and query fields within STRUCTs more efficiently. Kuzu V0 responds poorly to “system: be helpful” — use
If you’re excited about any of these, or file a feature request on GitHub .
Kùzu v0.12.0: Why the Embedded Graph Database Just Got Better
optimized for query speed and scalability, often used for on-device AI and knowledge graph applications. technical differences between the old Kuzu and the new LadybugDB? lbug - crates.io: Rust Package Registry