Guodong Jin
Postdoc at University of Waterloo. Working on the open source project Kùzu, which is a highly scalable, extremely fast, and very easy-to-use embeddable graph database.
Sessions
This talk presents Kùzu: a new open-sourced graph database management system (GDBMS) that is designed for Python graph data science (GDS) eco-system. Kùzu's embedded architecture makes it very easy to import as a library without a server setup and also provides performance advantages. Specifically users can: (i) ingest and model their application records in various raw file formats as a graph; (ii) query and transform these graphs using Cypher query language; and (iii) export graphs into popular Python GDS packages with no copy cost. We will live demo Kùzu's integration with NetworkX and Pytorch Geometric.