Open Internet by MindsNet

Scalable High-Volume Ingestion in Graph Databases

The challenge involves efficiently handling high-volume data ingestion in graph databases, particularly with Neo4j Aura, while maintaining heavy multi-hop traversal capabilities. Current methods, such as driver-based ingestion or bulk loading, present limitations and bottlenecks. The goal is to find a scalable solution that balances ingestion performance with complex querying needs.

Computing & Technology, Computer Science, Databases