Neo4j Enables up to 100x Faster Analytics and Real-Time Decision-Making

Neo4j has introduced major new capabilities for operational and analytical workloads, enabling cloud customers to drive up to 100x faster analytics and real-time decision-making on a single database. The Parallel Runtime uses morsel-based parallelism to split complex analytical graph queries into concurrent threads across multiple CPU cores, increasing query speeds by up to 100x. Native Change Data Capture automates tracking and notification of database changes for mission-critical decisions in real time. Knowledge Graph Embedding models find missing relationships and infer new connections within knowledge graphs for greater semantic understanding. New Pathfinding Algorithms make complex workflows more efficient by identifying critical paths between graph nodes and determining the best sequence for dependent tasks. These new capabilities are designed to help organizations dramatically accelerate graph analytics and develop the next wave of real-time, mission-critical applications.

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