The embedded columnar graph database built for highly regulated industries. Production-ready in minutes.
KuzuDB, with 10+ enterprise customers and VLDB publications, was acquired by Apple. Teams using embedded graph databases for agentic AI — and searching for a KuzuDB successor — are now turning to DuckDB for graphs.
KuzuDB's open source development stopped post-acquisition. No new features, bug fixes, or community support. LadybugDB fills the KuzuDB successor gap.
Unpatched vulnerabilities and no path forward for critical security updates. Your data deserves better.
Agentic applications in highly regulated industries need a reliable embedded graph database now.
Built on battle-tested foundations with a commitment to open source. LadybugDB is DuckDB for graphs, carrying forward the KuzuDB vision with active development and enterprise support.
Columnar storage with vectorized execution delivers lightning-fast analytical queries on graph data.
Zero external dependencies. Run anywhere - edge, embedded, or cloud. Perfect for agentic applications.
Optimized for analytics on connected data. Compress better, scan faster than traditional graph stores.
Commercial support contracts available. Backed by a team committed to long-term development.
LadybugDB inherits from research published at top-tier database conferences and battle-tested in production environments.
Published at top-tier database conferences
Enterprise customers from predecessor
Open source license, forever
The Kuzu team set a high bar in graph databases with their research innovations described in publications at leading conferences such as VLDB, making it easy to deploy anywhere with a fast Cypher query engine and a permissive license for use in highly regulated industries. Ladybug is committed to maintaining that bar with a low barrier to entry.Read the VLDB 2023 paper
From installation to querying your graph in under 5 minutes.
One command installation via curl or Homebrew. No dependencies, no configuration needed.
brew install ladybug
Import your data using Cypher queries or one of our language SDKs (Python, Node.js, Rust).
CREATE (n:Entity {name: 'Alice'})
Run analytical queries with Cypher. Leverage columnar storage for complex agg/egations.
MATCH (n)-[r]->(m) RETURN n, r, m
Join the teams building the future of agentic AI on LadybugDB — DuckDB for graphs and the definitive KuzuDB successor. No credit card required. MIT open source forever.