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Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.

NebulaGraph is a high-performance, scalable graph database designed to handle graphs with trillions of edges and vertices. It delivers millisecond latency at high concurrency, enabling real-time insights for mission-critical applications. Whether you're building fraud detection engines, recommendation systems, or knowledge graphs, NebulaGraph offers the speed, resilience, and flexibility required. It transforms complex relationships in your data into actionable insights, providing the native graph foundation for critical AI use cases. NebulaGraph is trusted by global enterprises for its ability to meet strict SLOs and native Kubernetes support, making it a nice fit for multi-cloud service mesh infrastructures.
NebulaGraph is a high-performance, scalable graph database designed to handle graphs with trillions of edges and vertices.
Explore all tools that specialize in storing trillions of edges and vertices. This domain focus ensures NebulaGraph delivers optimized results for this specific requirement.
Explore all tools that specialize in millisecond latency at high concurrency. This domain focus ensures NebulaGraph delivers optimized results for this specific requirement.
Explore all tools that specialize in building fraud detection engines. This domain focus ensures NebulaGraph delivers optimized results for this specific requirement.
Explore all tools that specialize in recommendation systems. This domain focus ensures NebulaGraph delivers optimized results for this specific requirement.
Explore all tools that specialize in native kubernetes support. This domain focus ensures NebulaGraph delivers optimized results for this specific requirement.
Explore all tools that specialize in multi-cloud service mesh infrastructures. This domain focus ensures NebulaGraph delivers optimized results for this specific requirement.
NebulaGraph is designed to handle graphs with trillions of edges and vertices, providing scalable storage solutions for massive datasets.
Enables real-time analytics on graph data, allowing for immediate insights and decision-making.
Supports multi-hop analysis to detect hidden relationships and patterns within the graph data.
Seamless integration with Kubernetes for multi-cloud deployment and management.
Offers 99.999% high availability, ensuring continuous operation for mission-critical applications.
Provides a library of 50+ graph algorithms for various use cases, enabling advanced analytics.
NebulaGraph Enterprise v5.2 GA unlocks AI-Ready Graph Capabilities and Data Visualization
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Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.
The only open, complete graph database used at terabyte-scale to power real-time use cases

The scalable, open-source graph database for massive datasets and complex relationship mapping.

The World's Leading Graph Database for Knowledge Graphs and GraphRAG-powered AI.
Foundational Data Layer for the AI Era