The landscape of graph databases is shifting. For years, developers looking to work with connected data had to choose between heavy, server-based architectures that required complex DevOps, or lightweight libraries that sacrificed query power.
: The query planner has been optimized to better handle variable-length paths and deep, multi-hop relationship traversals without hitting memory ceilings. 3. Memory Management and Spill-to-Disk Capabilities kuzu v0 120
Added support for filtering records within recursive relationship patterns. Expanded Data Types: Included an SQL-style The landscape of graph databases is shifting
Using full-text search and vector indices for semantic search over vast knowledge bases. Kùzu implements Cypher, the standard query language for
Kùzu implements Cypher, the standard query language for property graphs. The v0.12.0 update closes the gap on several complex Cypher features:
Unlike purely in-memory databases, Kuzu can handle datasets larger than RAM by efficiently spilling to disk, maintaining performance through its columnar layout. Developer Experience
One of the hallmarks of Kùzu is its columnar memory layout. Version 0.1.2.0 introduces more efficient compression techniques and faster I/O handling for large-scale data ingestion. This means faster "Time-to-Graph" when importing millions of nodes and edges from CSV or Parquet files. 3. Improved Integration with Python and Polars