M4A

NebulaGraph

Open-source distributed graph database for massive-scale graphs

freemiumproductiongraphdistributedopen-sourcescalablecloud-native
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Memory Types

semantic, graph

Integrations

python, java, go, spark, flink


Overview


NebulaGraph is an open-source distributed graph database designed to handle graphs with billions of vertices and trillions of edges. Built for horizontal scalability, NebulaGraph separates storage, query, and meta services, enabling independent scaling of each component. The project has a strong open-source community and is particularly popular in China.


NebulaGraph uses nGQL, a SQL-like query language designed for graph operations. The database excels at large-scale graph analytics and real-time queries, making it suitable for social networks, recommendation systems, and knowledge graphs at massive scale.


Key Features


  • **Distributed Architecture**: Storage, query, meta separation
  • **Massive Scale**: Billions of vertices, trillions of edges
  • **nGQL**: SQL-like graph query language
  • **High Availability**: Built-in HA and fault tolerance
  • **Cloud Native**: Kubernetes-ready deployment
  • **Graph Algorithms**: Built-in analytics algorithms
  • **Batch Import**: Fast bulk data loading
  • **Multi-Tenancy**: Space-based isolation

    • When to Use NebulaGraph


    NebulaGraph is ideal for:

  • Very large-scale graph applications
  • Social network platforms
  • Recommendation engines at scale
  • Knowledge graphs with billions of entities
  • Real-time graph analytics
  • Organizations wanting open-source at scale

    • Pros


  • Excellent scalability for large graphs
  • Fully open-source
  • Distributed architecture
  • Good performance at scale
  • Active community development
  • Cloud-native design
  • Free to use and modify
  • Strong in Asian markets

    • Cons


  • Smaller global community than Neo4j
  • Less Western adoption
  • Documentation primarily in Chinese (improving)
  • Fewer integrations than established alternatives
  • nGQL learning curve
  • Less enterprise support outside China
  • Smaller ecosystem
  • May be overkill for smaller graphs

    • Pricing


  • **Open Source**: Free, Apache 2.0 license
  • **NebulaGraph Cloud**: Managed service (China primarily)
  • **Self-Hosted**: Free to deploy anywhere
  • **Enterprise**: Support contracts available

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