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/
0:00 – Welcome & Guest Introduction: James Clarkston
2:42 – How AI and Systems Research Intersect
6:53 – The Vision Behind Aurendil: A Future Graph Runtime
11:05 – Making Cypher Friendlier & Smarter
15:01 – What Is Aurendil and What Makes It Different?
20:01 – Trade-Offs in Graph Database Design: Productivity vs. Performance
28:25 – Aurendil’s Sweet Spot: Semi-Structured Graphs
34:40 – Aurendil’s Streaming Engine & Modern Hardware Optimization
56:48 – Early Performance Results & What’s Next for Aurendil
#neo4j #graphdatabase #query #DatabaseArchitecture #research