Ladybug: DuckDB of Graph Databases

Apple acquired Kuzu, an embedded columnar graph database with 10+ enterprise customers and VLDB research publications, halting its open source development and leaving users without security updates or community support. LadybugDB has launched as a replacement, carrying forward Kuzu's vision with active development, zero external dependencies, and commercial support for agentic AI applications in highly regulated industries. The new database offers columnar storage with vectorized execution, one-command installation, and an open source license backed by a team committed to long-term development.

DuckDB for graphs The embedded columnar graph database built for highly regulated industries. Production-ready in minutes. Kuzu, with 10+ enterprise customers and VLDB publications, was acquired by Apple. Teams using embedded graph databases for agentic AI are now scrambling for a replacement. Kuzu's open source development stopped post-acquisition. No new features, bug fixes, or community support. 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 carries forward the Kuzu 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. 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. No credit card required. Open source forever.