. By optimizing how nodes and relationships are persisted on disk, Kùzu has reduced the storage footprint while simultaneously improving I/O throughput. This means: Faster Cold Starts : Initial data loading and database warming are snappier. Reduced Memory Overhead
As an embedded database, it is not designed for multi-user write concurrency (best suited for single-process analytics). kuzu v0 120
: Key fixes addressed vector index "drop" bugs and issues with FTS index creation during multi-index imports. Context for Development Package extension-repo - GitHub kuzu v0 120