NebulaGraph

Overview

NebulaGraph is a high-performance distributed graph database built for extreme scale. While primarily focused on graph workloads, it's increasingly used in AI applications that require both graph relationships and modern data processing capabilities.

Features

• Distributed Architecture: Horizontally scalable across multiple nodes
• Extreme Scale: Handles billions of vertices and trillions of edges
• High Performance: Shows better performance than Neo4j on larger datasets
• SQL-Like Query Language: nGQL provides familiar syntax
• Real-Time Queries: Low-latency graph traversal and analytics
• ACID Transactions: Full transactional support
• High Availability: Built-in replication and fault tolerance

Performance Comparison

Tencent Cloud Security team tests showed that while Neo4j outperformed NebulaGraph slightly with smaller datasets, NebulaGraph proved significantly faster with larger datasets. For three graph queries, NebulaGraph shows clearly better performance compared to Neo4j and HugeGraph.

Use Cases

• Social network analysis at scale
• Fraud detection networks
• Knowledge graphs for AI
• Recommendation engines
• Real-time analytics on connected data
• Enterprise data lineage tracking

AI Integration

While not a traditional vector database, NebulaGraph is used in AI applications requiring graph-based reasoning and can be combined with vector databases for hybrid AI systems.

Integration

Provides clients for multiple languages and integrates with data processing frameworks. Growing ecosystem for AI applications.

Pricing

Open-source under Apache 2.0 license. NebulaGraph Cloud offers managed service with various pricing tiers.