- Generative AI Integration: Neo4j introduces an AI copilot for real-time Cypher query suggestions and optimizations, simplifying graph database usage.
- Improved Read Capacity: AuraDB now processes 15 times more data per cluster, enhancing performance for read-heavy applications.
- New Tools: AuraDB adds NeoDash, a low-code dashboard builder for visual data analysis, and advanced security and compliance features.
Impact
- Simplified User Experience: The AI copilot enables users to write complex Cypher queries using natural language, streamlining graph data insights.
- Enhanced Performance: The 15x boost in read capacity allows faster, real-time data processing for applications with high data traffic.
- Increased Accessibility: Neo4j lowers the barrier to graph technology adoption by offering new, more affordable pricing tiers.
- Visual Data Mapping: NeoDash enables organizations to easily visualize security risks, supply chains, and other data insights.
- Wider Adoption of Graph Tech: With 80% of data analytics workloads projected to use graph technology by 2025, Neo4j’s innovations align with market demand.





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