Inside Infinigraph: how Neo4j scales a single graph

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The Ravit Show

Ravit Jain

418 episodes

1 day ago

The Ravit Show aims to interview interesting guests, panels, companies and help the community to gain valuable insights and trends in the Data Science and AI space! The show has CEOs, CTOs, Professors, Tech Authors, Data Scientists, Data Engineers, Data Analysts and many more from the industry and academia side. We do live shows on LinkedIn, YouTube, Facebook and other platforms. The motto of The Ravit Show is to the Data Science/AI community grow together!

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Inside Infinigraph: how Neo4j scales a single graph

The Ravit Show

8 minutes 39 seconds

2 weeks ago

Inside Infinigraph: how Neo4j scales a single graph

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