Inside Infinigraph: how Neo4j scales a single graph
from The Ravit Show Hosted by Ravit Jain
AI at massive scale needs a graph engine that does not blink at 100 TB. Enter Infinigraph. I had a blast at GraphSummit, London, I spoke to Ivan Zoratti, VP Product Management, Neo4j to dig into the Infinigraph announcements and what they unlock for real workloads. What we covered * What Infinigraph is and who needs it now * Property sharding in plain terms. How data spreads across nodes without losing graph semantics * One engine for ops and analytics. How HTAP stays fast without starving either side * Migration path for current Neo4j users. What carries over and what to plan for * Where it shines at 100 TB and up. Boundaries, guardrails, and real results on speed and cost * Timelines to ship and what this means for agentic AI next Why it matters Bigger graphs with lower latency change what agents can do. If you want real-time reasoning on live data, the storage and compute model must scale without falling apart. Watch if you care about scale, cost, and a clean path from today’s Neo4j to what is coming next. #Neo4j #GraphSummit #Infinigraph #GenAI #AgenticAI #GraphIntelligence #TheRavitShow
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