Digital twin applications use Neo4j to represent assets and equipment with complex hierarchical BOMs, curate related documents and CAD drawings, integrate with streaming IoT sensor data, and provide status, vendor, and maintenance analytics across geographically distributed asset/equipment instances in the field – all with sub-second query response times.

The leader in graph technology, Neo4j's graph data platform is a critical component to any digital twin strategy. A Neo4j graph database stores and manages data in its more natural, connected state, maintaining data relationships that deliver lightning-fast queries, deeper context for analytics, and a pain-free modifiable data model.

Traditional RDBMs are expensive to scale, difficult to navigate, and require complex queries to understand the relationships among physical and digital assets in exploration, upstream production, midstream pipelines, transportation, and refining. The Neo4j graph data platform and our graph data science algorithms enable you to reveal data insights that are simply unattainable with other database sources.

Neo4j is an established company with battle-tested technology used across industries, with the largest active community of 220,000 developers, data scientists, and architects who are working to solve the world's most complex and valuable data problems.