Neo4j confirms major new capabilities enabling cloud or self-managed customers to increase analytical queries by up to 100x faster, run both transactional and analytical processing within one database and automatically track data changes in real time for faster mission-critical decision making.
“Neo4j’s integration of operational and analytical workloads within a single database is now enhanced by the power of parallel runtime and change data capture, empowering our customers with real-time insights, cost-efficient data management and simplified architecture,” said Sudhir Hasbe, Chief Product Officer, Neo4j.
New capabilities and benefits include:
Up to 100X faster performance of analytical queries – via Parallel Runtime capability, adding concurrent threads across multiple CPU cores to run analytical graph queries. Neo4j also leverages a technique called morsel-based parallelism to optimise this capability for greater scalability, better resource utilisation and seamless multitasking.
Faster mission-critical decisions – now enabled by native Change Data Capture (CDC) automating real-time tracking and notification of data changes in the database. CDC is also integrated with Neo4j Connector for Kafka and Confluent, which streams these changes for easier consumption across other data platforms and applications
Easier Knowledge Graph creation – via new embedding models that predict and find missing relationships and infer new connections within an organisation’s knowledge graph for greater semantic understanding
New pathfinding algorithms – making complex workflows more efficient by identifying the best sequence and critical paths between nodes on a graph.
