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NebulaGraph Analytics: Enterprise-Grade Graph Processing

Build production-ready graph analytics with native GQL procedures—6-10x faster than Spark GraphX with memory resource usage reduced by 80%.

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Industry-Leading Performance

Delivers 6-10x faster processing than Spark GraphX.

Algorithm Extensibility

Develop custom algorithms via GQL procedures without infrastructure concerns.

Dynamic Resource Allocation

Dynamically allocate compute resources to maximize utilization efficiency.

Custom Algorithm Development

Implement domain-specific analytics via GQL procedures without infrastructure overhead. Achieve 80% faster development with instant running and zero recompilation cycles—focus purely on business logic.

Visual Algorithm Studio

Develop and debug with VS Code-style interface featuring syntax highlighting and real-time graph visualizations. Manage task versions and configure multi-strategy scheduling (manual/timed) for production-ready analytics workflows.

Multi-Source Data Integration

Ingest data from NebulaGraph, HDFS, S3/GCS, and structured formats (Parquet/ORC) through unified connectors. Export results to diverse storage systems with configurable write pipelines for seamless ML/AI integration.

Use Cases and Scenarios

Community Detection

Finds hidden fraud rings by grouping accounts with abnormal interaction patterns—turning fragmented data into actionable intelligence.

Personalized PageRank

Measures node importance in your specific context —spotting stealth fraud hubs while ignoring irrelevant global noise.

Connected Components

Maps all reachable nodes in isolated networks—exposing hidden fraud ecosystems from a single suspicious entry point.

Shortest Path Analysis

Calculates minimal connection paths between entities —unmasking obfuscated relationships in real time.