"Neo4j said Infinigraph works using a feature it calls "property sharding," which stores the graph's structure (the nodes and relationships) in a single graph shard that preserves the structure of the graph as a cohesive unit. These property shards can then be distributed across different machines in a cluster to achieve horizontal scalability without sacrificing graph traversals - or searches - which happen completely within the graph shard."
"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 introduced Infinigraph, a distributed graph architecture that uses property sharding to enable horizontal scalability while preserving graph traversal performance. The offering is available as a self-managed system and will be added to Microsoft's AuraDB DBaaS and Fabrics platform. Graph data is organized by nodes and edges rather than relational rows and columns, optimizing analysis of relationship networks. Property sharding stores the graph's nodes and relationships in a single cohesive shard while distributing property shards across machines to scale horizontally without breaking traversals. Infinigraph aims to support both real-time transactional workloads and deep analytical queries on the same system.
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