Neo4j Launches Infinigraph for 100TB+ Unified Graph Workloads

Neo4j has launched Infinigraph, a new distributed graph database architecture designed to run both transactional and analytical workloads in one system at 100TB+ scale. 

The platform enables enterprises to store and analyse billions of relationships and run thousands of concurrent queries in real-time. It supports use cases such as embedding tens of millions of documents as vectors for context-aware assistants, global fraud detection, large product catalogues, and compliance analysis.

By merging operational and analytical workloads, Infinigraph addresses the long-standing challenge of data silos. Enterprises often run separate transactional and analytical systems, leading to cost overheads and delays. Neo4j claims its approach removes ETL pipelines, sync delays, and redundancy.

“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,” Sudhir Hasbe, president of technology at Neo4j, said in the press release.

Customers such as Intuit and Dun & Bradstreet are already exploring its potential. Chad Cloes, staff software engineer at Intuit, said in the statement that the company needs to scale without compromising performance, adding that Infinigraph could help meet those demands.

The company claims that the system introduces sharding to distribute property data across cluster members while maintaining the graph’s logical integrity. Key benefits include horizontal scaling beyond 100TB, embedding billions of vectors, high availability through autonomous clustering, and cost flexibility with separate billing for compute and storage.

Infinigraph is available in Neo4j’s Enterprise Edition and will be rolled out soon to AuraDB, its cloud-native platform.

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