Next Big Data System

We Open Source Streaming Graph System TuGraph Analytics (The Project name is GeaFlow). GeaFlow is an open-source distributed real-time graph computing engine developed by Ant Group. It is widely used in scenarios such as financial risk control, social networks, knowledge graphs, and data applications. The core competence of GeaFlow is streaming graph computing, which provides a high-time efficiency and low-latency graph computing mode compared to offline graph computing. Compared with traditional streaming computing engines such as Flink and Storm, which are real-time processing systems for table data, GeaFlow mainly focuses on real-time processing of graph data, supporting more complex relationship analysis and calculations, such as real-time search for multi-degree relationships and loop detection. At the same time, it also supports real-time analysis and processing of graph-table integration and can handle both table data and graph data at the same time.