# Ladybug: DuckDB of Graph Databases

> Source: <https://ladybugdb.com/>
> Published: 2026-06-05 21:38:30+00:00

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.
