The kuzu v0 136 full release is not a minor patch. It represents a maturation point where several experimental features from earlier beta versions (v0.12x) were stabilized. Here is why this version is critical:
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Kuzu is a high-performance open-source graph database and query engine designed for analytics on property graphs. It focuses on fast ingestion, compact storage, and low-latency analytical queries using a Cypher-like query language and vectorized execution for modern hardware. kuzu v0 136 full
| Feature | Description | Benefit |
|---------|-------------|---------|
| Full‑text index (FTI) for node/relationship properties | 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. |
TL;DR: v0.13.6 turns Kuzu from a pure “in‑process graph engine” into a full‑featured, production‑ready graph database while preserving its hallmark low‑latency performance. The kuzu v0 136 full release is not a minor patch
| Dataset | #Vertices | #Edges | Query | Avg latency (ms) | Speed‑up vs Neo4j | |---------|-----------|--------|-------|------------------|-------------------| | Social‑Network‑1B | 1 B | 5 B | 2‑hop friend‑recommendation | 3.2 | 5.8× | | Citation‑Graph‑500M | 500 M | 2 B | PageRank (10 iterations) | 12.5 | 4.1× | | Road‑Network‑200M | 200 M | 300 M | Shortest‑path (Dijkstra) | 1.1 | 3.9× |
All tests run on a 32‑core AMD EPYC 7542 (2.8 GHz) with 256 GB RAM, using the Hybrid storage engine and multi‑threaded execution. Kuzu is a high-performance open-source graph database and
Takeaway: Kuzu’s design (row‑store for hot vertices + column‑store for edges) yields sub‑millisecond latency even on graphs that would push conventional stores into the seconds‑range.
Once installed, verify the "full" capabilities by creating a database and running a recursive query.
import kuzu
Shell: