Efficient data organization facilitates analysis and querying of graphs with tens of billions of vertices and hundreds of billions of edges.
Optimized distributed graph processing engine supports high-concurrency, multi-hop, real-time queries in seconds.
Integrated Querying and Analysis
Integrated querying and analysis and graph analytics algorithms empower analysis for scenarios such as relationship analysis, route planning, and precision marketing.
Ease of Use
Wizard-based GUI and compatibility with Gremlin facilitate easy graph analysis.
Suitable for mining valuable information from large and complex social networks.
Provides personalized and precise recommendations based on friend relationships, user profiles, behavior similarities, product similarities, and propagation paths.
Groups users based on their profiles, behavior similarities, or relationships to facilitate precise user group management.
Analyzes user behavior, partner relationships, and account/IP login information to detect abnormal behavior, minimizing losses due to fraud.
Identifies opinion leaders and hot topics by analyzing propagation paths and relationships, enhancing the quality of public opinion analysis.
GES-based knowledge graphs integrate various kinds of heterogeneous data, enabling larger graph scales and higher performance.
Integrates and stores billions of heterogeneous data points as vertices and edges in graphs.
Optimized to process thousands of graph queries, returning accurate results within seconds.
Combines similar knowledge points based on graph-based analysis and computing to implement knowledge disambiguation.
Identifies and recommends learning paths based on learning relationships between data points.
Financial Risk Control
GES graph queries help detect fraudulent user behavior, minimizing potential financial risks.
Identifies users who share the same personal information such as email addresses or IP addresses and highlights cases of known or potential fraud.
Groups users based on interpersonal relationship analysis to identify abnormal groups.
Tracks missing people based on various relationships.
Helps customers adjust the pressure and balance loads of urban roads or pipelines (such as water, gas, power, and oil pipelines) to facilitate refined control over traffic networks and pipelines.
Helps analyze traffic pressure of the entire pipeline network based on the real-time pipeline monitoring data.
Analyzes traffic congestion of the entire urban road network according to the traffic, road network, and intersection monitoring information to improve traffic light control.
Helps plan routes based on people and vehicle requests in real time, increasing the seat occupancy rate and reducing operation costs.
Provides intelligent device monitoring and management for your entire network and IT infrastructure.
Facilitates network planning by determining impacts of faulty nodes, and recommends backup routers for nodes bearing heavy loads.
Quickly locates the root cause of any network or infrastructure fault.
Provides visual relationships of network devices, including device and resource statuses, for more efficient O&M.
Supports the PageRank, K-core, Shortest Path, Label Propagation, Triangle Count, Link Prediction, and many other algorithms.
Provides wizard-based exploration environment and visualized query results.
Provides APIs for graph query, metrics statistics, Gremlin query, graph algorithms, and graph and backup management.
Compatible with open source Apache TinkerPop Gremlin 3.3.0.
Provides the GES overview, graph management, graph backup, and metadata management functions.