NebulaGraph transforms complex relationships in your data into real-time, actionable insights, providing the native graph foundation for critical AI use cases.
Open Source
Proudly open source, allowing flexible deployment options.
High-speed Data Processing
Lightning-fast QPS and TPS with millisecond latency.
Intuitive Efficiency
Simplifies data queries with an easy-to-learn query language nGQL.
99.99% High Availability
Ensures resilience to failures with automatic snapshot recovery.
NebulaGraph is a distributed graph database designed for handling super large-scale graphs efficiently. It utilizes a powerful native graph engine, enabling high concurrency and optimized memory usage for fast data processing. The database is cloud-native and hence provides low-latency read and write operations, making it suitable for real-time applications.
NebulaGraph supports trillions of edges and vertices, operates on a shared-nothing distributed architecture for linear scalability, and offers compatibility with various programming languages such as C++, Python, Java, Node.js, and Go.
Social networks
Recommendation engines
Fraud detection
A graph database stores and queries data as graphs, using vertices for entities and edges for relationships, efficiently handling complex, interconnected data.
NebulaGraph boasts a powerful native graph engine ensuring lightning-fast QPS and TPS with millisecond latency, optimized for super large-scale graphs.
Yes, it’s open-source; but the enterprise edition is recommended for production use.
