Neo4j launches Infinigraph for real-time graph scale

Neo4j launches Infinigraph for real-time graph scale

Neo4j has launched Infinigraph, its most scalable graph architecture yet. The new platform allows companies to run real-time transactions and analytics in one system, handling 100TB+ workloads without infrastructure duplication or performance trade-offs.


Neo4j has launched Infinigraph, a new graph database architecture designed to handle transactional and analytical workloads within a single system at enterprise scale.

Available immediately as part of Neo4j’s Enterprise Edition, the platform introduces what the company describes as “100TB+” horizontal scalability — allowing billions of relationships and thousands of concurrent queries without fragmenting the dataset or duplicating infrastructure.

Graph databases have become foundational for fraud detection, search personalisation, and GenAI retrieval — but the need to separate operational systems from analytics has remained a limiting factor. Infinigraph is pitched as a direct solution to that constraint.

“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,” said Sudhir Hasbe, President of Technology at Neo4j. “We’re giving builders the power to create intelligent systems that transform data into knowledge, scale without limits, and solve their biggest data challenges — without added complexity or cost.”

Infinigraph uses sharding to distribute a graph’s property data across nodes while preserving its structure. This means applications can scale without being rewritten — a key concern for large businesses handling complex systems.

Customers can embed vector data directly into the graph — powering semantic search, GenAI copilots, and autonomous agents. Other use cases include product graphs with hundreds of millions of SKUs, global compliance queries across decades of data, and fraud ring analysis in real time.

The product forms part of Neo4j’s broader strategy to unify data architectures. Where businesses often juggle separate systems for operational and analytical tasks, Infinigraph allows both to run on one platform — eliminating the cost and complexity of syncing between engines.

Chad Cloes, Staff Software Engineer at Intuit, said: “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.”

Neo4j already supports 84 of the Fortune 100, with existing customers including BT Group, Adobe, and UBS. The company surpassed $200 million in revenue in 2024 and plans to roll Infinigraph out to its cloud-native AuraDB service in the coming months.



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