Neo4j Live: Aurendil – A Future Graph Database Runtime
Chapters 9
- Play from Welcome & Guest Introduction: James Clarkston
- Play from How AI and Systems Research Intersect
- Play from The Vision Behind Aurendil: A Future Graph Runtime
- Play from Making Cypher Friendlier & Smarter
- Play from What Is Aurendil and What Makes It Different?
- Play from Trade-Offs in Graph Database Design: Productivity vs. Performance
- Play from Aurendil’s Sweet Spot: Semi-Structured Graphs
- Play from Aurendil’s Streaming Engine & Modern Hardware Optimization
- Play from Early Performance Results & What's Next for Aurendil
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
Resources mentioned
Cypher & GQL
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