A highly scalable, extremely fast, easy-to-use embeddable graph database
Core Features
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Graph-based Modeling & Querying
Property graph data modelCypher query language -
Graph-optimized Storage & Query Execution
Columnar storage and indicesVectorized and factorized query processorNovel and very fast join algorithmsMulti-core query parallelism -
Simple and Feature-rich
Embeddable, serverless integration into applicationsSerializable transactionsZero-copy integration with Python graph data science libraries, such as Pytorch Geometric and NetworkX -
Free
Open-sourcedPermissive MIT License
Download
Our Community
I've enjoyed spending time with Kuzu and this blog neatly summarised why I like it (namely, how it interops so easily with relational sets - arrow, parquet etc)
Finally, a whole host of new technologies from embedded databases (@duckdb, @kuzudb) and open table formats (@ApacheIceberg, @apachehudi) are making it easier to query data in object storage and analyze "small" data on a local machine/single node.
One of my favorite recent discoveries is @kuzudb. Super lightweight and supports the Cypher query language, such a nice project for graph analytics.
Kùzu is a really good graph database. If DuckDB is as an emerging power in the relational database world, there is Kùzu in the GDBMS world, and it is open source and faithful to the basics.
KuzuDB has straightforward integrations with Polars, NetworkX, Pandas, PyArrow and...Torch Geometric! Meaning that you can export data towards Graph Machine Learning with one method call.
Team
Kùzu is built by a team of developers at Kùzu Inc, a company based
in Waterloo, Ontario, Canada.
Reach out to us at
[email protected], or on
Discord.
Semih Salihoğlu
CEO & Co-founder
Guodong Jin
Software Engineer & Co-founder
Xiyang Feng
Software Engineer & Co-founder
Ziyi Chen
Software Engineer & Co-founder
Chang Liu
DevOps Engineer & Co-founder
Benjamin Winger
Software Engineer
Prashanth Rao
AI Engineer
Cihan Bıyıkoğlu
Advisor
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