Since (released mid-2024) represents a specific iteration of the "Kuzu" graph database management system, this paper is drafted as a technical overview or release white paper. It highlights the features, architectural principles, and performance benchmarks relevant to this specific version.
| Feature | Description | Benefit | |---------|-------------|---------| | | Integrated BM25‑based inverted index that can be queried with CONTAINS and MATCH_TEXT . | Enables fast keyword search on textual attributes (e.g., product descriptions, logs). | | Hybrid storage engine | Combines a row‑store for hot‑spot vertices with a column‑store for bulk edges. | Improves cache locality and reduces memory consumption for dense graphs. | | Multi‑threaded query execution (up to 64 cores) | Parallelizes both pattern‑matching and aggregation phases automatically. | 2‑3× speed‑up on modern 24‑core CPUs for typical traversals. | | Python‑native API ( kuzu-py ) 2.0 | Auto‑generated type hints, context‑manager support, and native pandas.DataFrame conversion. | Seamless integration with data‑science stacks; no manual serialization. | | Rust bindings 1.5 | Safe, zero‑copy FFI layer with async support. | Lets Rust applications embed Kuzu without an external C‑wrapper. | | Explain plan visualizer | CLI command kuzu explain <query> outputs a DOT graph that can be rendered with GraphViz. | Makes performance debugging approachable for non‑DBA developers. | | Bulk‑loader CLI ( kuzu import ) | Supports CSV, Parquet, and NDJSON with schema inference and optional compression. | Load >100 M edges in under 5 minutes on a 32‑core VM. | | Improved durability | Optional write‑ahead log (WAL) with snapshotting. The default “in‑memory only” mode remains unchanged. | Gives developers a simple path to persistence without sacrificing speed. | | Security hardening | TLS‑enabled client‑side sockets (when run in server mode), and sandboxed UDF execution. | Makes Kuzu viable for multi‑tenant environments. | kuzu v0 136 full
: Designed to integrate seamlessly with AI pipelines, supporting frameworks like PyG (PyTorch Geometric) Performance Since (released mid-2024) represents a specific iteration of
pip install kuzu --upgrade