nebula graph

Nebula graph

Nebula Graph is an open-source, distributed graph database designed to store and manage graph data at scale. It features high concurrency, low latency, and high availability for storing trillion-edge graphs.
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distributed graph-database open-source

Nebula Graph: Open-Source Distributed Graph Database

Nebula Graph is an open-source, distributed graph database designed to store and manage graph data at scale. It features high concurrency, low latency, and high availability for storing trillion-edge graphs.

What is Nebula graph?

Nebula Graph is an open-source, distributed graph database designed from the ground up to store and manage graph data at scale. Here are some key features of Nebula Graph:

  • Distributed architecture that scales horizontally to handle large datasets and high throughput
  • Native support for storing graph structures and running graph algorithms
  • High availability with multi-replica storage and no single point of failure
  • Low latency queries and traversals for analyzing relationships in the graph
  • Cypher-compatible query language for intuitive graph data modeling and querying
  • Role-based access control and authentication for security
  • Supports importing data from and exporting to popular graph formats and databases

Nebula Graph can cluster hundreds of servers to store trillion-edge graphs. It provides REST and native SDK APIs for various languages. The database is useful for building knowledge graphs, fraud detection, social networking, recommendation engines, and other connected data domains.

Nebula graph Features

Features

  1. Native graph storage
  2. High availability
  3. Horizontal scalability
  4. Strong data consistency
  5. High concurrency
  6. SQL-like query language

Pricing

  • Open Source
  • Custom Pricing

Pros

High performance for graph workloads

Can handle large graphs with billions of vertices and trillions of edges

Fault tolerant and resilient

Flexible schema

Compatible with many graph algorithms

Cons

Limited ecosystem compared to more established graph databases

Steep learning curve for query language

Not ideal for non-graph workloads


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