Neo4j Live: Aurendil – A Future Graph Database Runtime
Join us for a deep dive into Aurendil, Neo4j Research’s ambitious leap beyond traditional database design. We unveil a radical new graph-native runtime that breaks away from the performance vs. productivity trade-off.
Aurendil
- Rethinks Cypher execution with a streaming, metadata-driven engine
- Delivers adaptive performance that improves with repeated queries
- Unlocks scalability across cores and machines, from NUMA to federated systems
- Embraces disaggregated architectures for AI-ready infrastructure
Guests: James Clarkson
https://www.linkedin.com/in/jtc36/
Chapters
- 00:00Welcome & Guest Introduction: James Clarkston
- 02:42How AI and Systems Research Intersect
- 06:53The Vision Behind Aurendil: A Future Graph Runtime
- 11:05Making Cypher Friendlier & Smarter
- 15:01What Is Aurendil and What Makes It Different?
- 20:01Trade-Offs in Graph Database Design: Productivity vs. Performance
- 28:25Aurendil’s Sweet Spot: Semi-Structured Graphs
- 34:40Aurendil’s Streaming Engine & Modern Hardware Optimization
- 56:48Early Performance Results & What's Next for Aurendil
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