- Home
- Energy Retrofits
- Projects
- Finance
- Financial workshops
- 1st Financial workshop - London, UK
- 2nd Financial workshop - Bratislava, SK
- 3rd Financial workshop - Copenhagen, DK
- 4th Financial workshop - Dublin, IE
- 5th Financial Workshop - Milan, IT
- 6th Financial Workshop - Leipzig, DE
- 7th Financial Workshop - Sofia, BG
- 8th Financial Workshp - Sophia, BG
- 9th Financial Workshop - Växjö, SE
- 10th Financial Workshop - Barcelona, ES
- 11th Financial Workshop - Barcelona, ES
- 12th Financial Workshop in Paris, France
- Final Financial Workshop
- Questionnaires
- Financial workshops
- Products
- Events/Awards
- Downloads
Kuzu V0 136
You can install the latest v0.13.6 release directly via pip : pip install kuzu==0.13.6 Use code with caution. Basic Usage Example
For data engineers working with large-scale relational structures, Kuzu provides robust utilities to build and navigate graph data. kuzudb/kuzu: Embedded property graph database ... - GitHub
Graph construction from raw CSV or Parquet files can be a bottleneck. Kùzu v0.13.6 optimizes the COPY FROM statement. The parallelized ingestion pipeline has been tuned to better distribute the workloads of indexing node IDs and building adjacency lists across available CPU threads. This results in measurable speedups when bootstrapping large datasets. 4. Stability and API Refinements Across Bindings kuzu v0 136
Kùzu v0.13.6 Released: Pushing the Boundaries of In-Process Graph Databases
The most dramatic improvement comes when using the new LIST type. Previously, simulating nested data required extracting JSON fields, which incurred heavy CPU costs. Now, the columnar storage scans the LIST directly. You can install the latest v0
The most practical improvement in v0.1.36 is the overhaul of the COPY FROM statement.
What (Python, Rust, C++) you plan to use? The approximate scale of your dataset (nodes/edges count)? - GitHub Graph construction from raw CSV or
: Implements the openCypher query language, which is widely used in the graph database industry.