NebulaGraph is an open-source distributed graph database designed for large-scale graph datasets. It supports horizontal scaling, fast graph queries, and a suite of graph analytics, and can be combined with vector retrieval for semantic search and AI use cases.
Key Features
- Horizontally scalable distributed architecture suitable for large graph clusters.
- Low-latency graph queries and a comprehensive library of graph algorithms for analytics.
- Support for multiple clients and query languages (OpenCypher compatibility) with detailed operational documentation.
- Vector index and retrieval support to integrate with semantic search and recommendation systems.
Use Cases
- Social network analysis and real-time recommendation.
- Knowledge graph construction and semantic retrieval.
- Semantic search and recommendation combining graph and vector retrieval.
Technical Highlights
- Raft-based replication for strong consistency and high availability.
- Component separation (meta, graph, storage) for scalable deployments.
- Containerized and Kubernetes-friendly deployment options for production operations.
- Apache-2.0 licensed with an active community and ecosystem.