Kuzu V0 136 Fixed Verified Jun 2026

pip install djc-ext-pydantic

For those looking for an actively maintained alternative following Kùzu's archiving, FalkorDB or Neo4j are recommended by community members. kuzudb/kuzu: Embedded property graph database ... - GitHub

If you are interested, I can provide more details on how to install and use the new extension management features. Share public link

by default, eliminating the need for manual installation of these tools. Cross-Platform Portability: kuzu v0 136 fixed

Enhancements were made to the query planner to better optimize queries involving multiple OPTIONAL MATCH clauses or complex pattern matching.

Kuzu v0.13.6 Fixed! 🚀 The community-driven graph database has rolled out a crucial patch: Kuzu v0.13.6

Handling unstructured or semi-structured data in graph schemas requires strong UNION data type handling. pip install djc-ext-pydantic For those looking for an

Faster, more reliable COPY commands, allowing for efficient ingestion of billions of edges. 2. Improved Cypher Query Optimization and Execution

reintroduces a recursive descent parser with enhanced stack overflow protection. The new parser handles arbitrarily deep JSON (tested up to 128 levels) and improves parsing speed by 18% compared to v0.134 (the last stable version). Additionally, error messages now include line and column numbers for malformed JSON, drastically improving debuggability.

The “fixed” tag in this release is not merely cosmetic. It represents a fundamental overhaul of three major subsystems. Below is a detailed look at the most impactful corrections. Share public link by default, eliminating the need

Here is a technical write-up regarding the fixes and features introduced in this release.

A Kùzu database file is portable and can be moved across different operating systems as long as they are running the same version of the database. Releases · kuzudb/kuzu - GitHub

Runs directly inside your application process, eliminating client-server network overhead.

Introduced caching for prepared statements in the client context to reduce query overhead.