NebulaGraph vs WhisperGraph

NebulaGraph is a distributed graph database for storing and querying complex connected data. It is designed for scalability and millisecond responses to complex queries; the project says it can store and process graphs with trillions of edges and vertices. It supports nGQL and openCypher compatibility, while native ISO-GQL is supported in Enterprise v5.0. Native vector search combines graph structures with unstructured data. Deployment options include on-premises, public cloud, and hybrid environments, and NebulaGraph Cloud can deploy clusters on Azure, AWS, and Google Cloud Platform. Developers can use Java, Python, C++, and Go clients, plus Spark and Flink connectors. NebulaGraph Studio is a web-based tool for schema creation, data import, query writing, and graph exploration. Cloud features include Private Link, role-based graph-space permissions, Raft-based redundant backups across server rooms in the same city, and point-in-time snapshots. The open-source edition is free under Apache 2.0; a 14-day Cloud trial includes one instance with 2 vCPUs, 4 GB RAM, and 10 GB storage without payment information.

WhisperGraph has no write-up on Specifiction yet; its figures are above.