With 100TB+ scalability, full ACID compliance, and real-time performance, it empowers enterprises to run fraud detection, compliance checks, AI-driven assistants, and large-scale analytics—all from a single connected dataset.
An advancement in database technology is addressing one of the biggest challenges enterprises face: the separation of real-time transactions and deep analytics. Neo4j’s new distributed graph architecture, Infinigraph, fuses both workloads into a single system at unprecedented scale, capable of managing over 100TB of connected data without duplication, sync delays, or performance compromises.
Infinigraph ensures full ACID compliance, so every read, write, and update remains consistent and recoverable—even with billions of relationships and thousands of concurrent queries. This empowers organizations to run operational and analytical workloads side by side, enabling fraud detection, compliance monitoring, AI-driven assistants, and real-time recommendations from the same dataset.
Built on advanced sharding technology, Infinigraph distributes property data across clusters while preserving the graph as a logical whole. Applications scale horizontally without rewrites, billions of vectors can be embedded directly in the graph, and autonomous clustering provides high availability by detecting and recovering from failures automatically.The biggest advantage for enterprises lies in eliminating data silos. Traditionally, organizations have been forced to synchronize separate transactional and analytical systems, introducing delays, infrastructure sprawl, and added costs.
With this teams gain a single, consistent source of truth that simplifies infrastructure, removes technical debt, and accelerates insights.Customers and industry experts are already pointing to the significance. “At Intuit, we rely on Neo4j to power critical projects across our business… As our data footprint and complexity grows, we need to scale without compromising performance. We’re excited about the possibilities that Infinigraph can open up for us,” said Chad Cloes, Staff Software Engineer at Intuit. Moheesh Raj, Director of Engineering at Dun & Bradstreet, added: “Running real-time queries while also analyzing broader patterns is critical to delivering value. That requires a graph to scale both.”
Industry analysts also see the move as timely. “As GenAI use cases expand exponentially, graph infrastructure has become critical. Neo4j’s latest move with Infinigraph is an exciting next step in helping organizations scale their graph foundations horizontally to meet enterprise demands,” said Devin Pratt, Research Director at IDC.
According to Sudhir Hasbe, President of Technology at Neo4j, “Infinigraph sets a new standard for enterprise graph databases: one system that runs real-time operations and deep analytics together, at full fidelity and massive scale.”By merging transactions and analytics into one architecture, Infinigraph positions Neo4j as the foundation for the next generation of real-time, AI-driven enterprise systems.
