vesoft-inc/nebula

Health v2 · maintenance only

Adoption not part of the score

12365 stars · 1327 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

NebulaGraph is a distributed, open-source graph database written in C++ that handles large graph datasets with millisecond latency and horizontal scalability. It uses RAFT for strong consistency, supports an openCypher-compatible query language, and includes built-in graph analytics algorithms.

Use cases

• store and query billions of nodes and edges in a distributed graph database
• run multi-hop fraud detection and anti-money-laundering analysis in real time
• build a knowledge graph for RAG and GenAI applications
• power recommendation engines with relationship queries
• analyze social networks and security threat graphs
• run graph analytics algorithms on large-scale connected data

When to choose

• you need a horizontally scalable graph database for very large datasets
• you want millisecond-latency queries on highly connected data
• you need openCypher-compatible querying with strong consistency
• you are building knowledge graphs, fraud detection, or recommendation systems

When to avoid

• your graph fits comfortably in a single node and simpler databases suffice
• you need a lightweight embedded graph store
• your team cannot operate a distributed multi-component cluster

Facets

application · maturity active

database search-engine rag databases big-data microservices artificial-intelligence self-hosted cpp graph-database opencypher raft knowledge-graph graphrag horizontal-scalability linux docker kubernetes

Member repositories

For agents

markdown · JSON · MCP: product_card(name="vesoft-inc/nebula")