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Neo4j launches Infinigraph as most scalable graph database

Neo4j launches Infinigraph, a new graph database architecture designed to unify transactions and analytics at over 100TB scale.

Neo4j has unveiled Infinigraph, a new distributed graph architecture designed to run both operational and analytical workloads in a single system at over 100TB scale. Announced on 4 September in Singapore, the launch marks a major step in the company’s efforts to eliminate data silos and deliver performance at enterprise scale.

Infinigraph enables businesses to manage real-time transactions and analytics together without fragmenting data, duplicating infrastructure, or reducing speed. It guarantees full ACID compliance, ensuring that every read, write, and update remains consistent and recoverable, even when handling billions of relationships and thousands of concurrent queries.

According to Neo4j, the architecture opens up new possibilities for organisations deploying generative AI at scale. It allows tens of millions of documents to be embedded as vectors directly in the graph, supporting context-aware assistants and semantic search. Other use cases include global fraud intelligence, compliance analysis across decades of data, and product graphs managing hundreds of millions of SKUs.

Addressing the divide between systems

One of the key challenges for enterprises has been the divide between transactional databases and analytical systems. This often results in higher costs, slower decision-making, and complex integration requirements. Infinigraph aims to solve this by supporting both workloads in the same system at scale, without the need for ETL pipelines or synchronisation delays.

Industry research points to this trend. The 2024 Gartner Magic Quadrant for Cloud Data Management Systems noted that convergence between operational and analytical systems is increasingly common, with vendors pursuing different approaches. Neo4j’s Infinigraph represents a direct answer to this need, providing a single, consistent source of connected data.

With the system, teams can run transactional applications, detect fraud rings, and analyse customer behaviour in real time, all from the same dataset.

Designed for scale and flexibility

Infinigraph is the product of a multi-year engineering investment aimed at overcoming one of the toughest challenges in database management: scaling graph workloads without compromising performance or ease of use. The system employs sharding, which distributes property data across cluster members while keeping the graph logically whole. This means queries work as expected, applications scale seamlessly, and no code changes are required.

Among its benefits are horizontal scaling beyond 100TB, the ability to embed billions of vectors directly into the graph, and support for massive transactional and analytical workloads. It also offers high availability across data centres, full ACID compliance, and pricing designed to give customers control over costs by separating compute and storage.

Neo4j’s customers can choose from replicated graphs for high availability, federated graphs with Fabric, or sharded graphs with Infinigraph, depending on their needs.

Industry adoption and recognition

Neo4j counts 84 of the Fortune 100 among its customers, including Adobe, BT Group, Novo Nordisk, Uber, and UBS. The company has been recognised as a Visionary in Gartner’s 2024 Magic Quadrant for Cloud Database Management Systems, named a Gartner Peer Insights Customer’s Choice in 2025, and ranked as a Strong Performer in The Forrester Wave: Vector Databases, Q3 2024. It reported more than US$200 million in revenue in late 2024.

Industry voices welcomed the launch. Devin Pratt, Research Director at IDC, said, “As GenAI use cases expand exponentially, graph infrastructure has become critical. Neo4j’s latest move with Infinigraph is an exciting next step in helping organisations scale their graph foundations horizontally to meet enterprise demands.”

Sudhir Hasbe, President of Technology at Neo4j, added, “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. 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.”

Neo4j said Infinigraph is now available as part of its Enterprise Edition and will soon be introduced to AuraDB, its cloud-native graph platform.

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