IDC MarketScape Places Huawei Cloud in Leaders Category in 2023 Vendor Assessment

Aug 11, 2023 GMT+08:00

The International Data Corporation (IDC), a premier global provider of IT market research and consulting services, recently released its latest research report, the IDC MarketScape: China Graph Database 2023 Vendor Assessment. The intelligence provider assessed 12 enterprise-level graph database vendors in the Chinese market, considering dimensions such as product technical capabilities, markets, ecosystems, and future development strategies and divided potential key measures for success into two primary categories: capabilities and strategies. The report revealed Huawei Cloud, a company with years of accumulated technical and industry experience, positioned in the Leaders category.

According to the IDC report, Huawei Cloud Graph Engine Service (GES) is a distributed native graph database and engine product with independent intellectual property rights. It provides 30+ high-performance algorithms and 10+ graph neural network and graph embedding algorithms for one-stop graph storage, query, and computing in multiple scenarios. It is widely used in industries such as Internet, government, public safety, tax, and electric power to assist decision-making, reduce costs, and improve efficiency.

Accumulated Technical Expertise Makes GES More Efficient

Enterprises typically have heterogeneous service data stored in different databases. Graph technology has emerged as a solution for processing this type of data. As an extension to big data analysis and data warehouses, graph data analysis platforms are essential for enterprises. Huawei Cloud GES integrates the graph database and graph analysis engine to provide comprehensive graph analysis, query, and visualization. It is the first commercial native graph product with independent intellectual property rights in China and offers the following advantages:

1. Integrated analysis and query

Each set of data is used for two purposes: query and analysis. Abundant graph analysis algorithms are utilized to provide diverse analysis capabilities for services such as relationship analysis, route planning, and precision marketing. Mainstream graph query languages Cypher and Gremlin are supported, which corresponds with customers' usage habits. More than 30 built-in high-performance algorithms and 10+ graph neural network and graph embedding algorithms are provided for analysis and computing in multiple scenarios.

2. Large scale and high performance

Thanks to efficient data organization, Huawei Cloud GES enables customers to effectively query and analyze 10 billion vertices and 100 billion edges of data. The in-depth optimized distributed graph computing engine provides customers with high-concurrency and multi-hop real-time queries in seconds. The query and algorithm performance is industry-leading, and the 6-hop query response is available within seconds.

3. No-code visual analysis makes GES easy to use

Huawei Cloud GES supports no-code graph modeling, entity drill-down, filtering and display, and algorithm parameter tuning. These functions allow you to construct and analyze graphs with zero code — meaning zero barriers to entry. It also offers built-in operations in some scenarios and can be used out of the box.

Widely Used for Collaborative and Shared Success

Relying on powerful scientific research capabilities, Huawei Cloud GES has served 50+ customers in multiple industries, such as government, finance, and Internet, and has achieved excellent results. It can be widely used in scenarios requiring the analysis of abundant relationships, such as social relationship analysis, marketing recommendation, data lineage, information propagation, offender group mining, financial risk control, and the industrial Internet.

In the government industry, many government departments have already achieved "digital" offices, but their original platforms are unable to handle massive and complex service requirements in a timely manner. Take a city service hotline as an example. On average, more than 600,000 residents' requirements need to be handled each month. The hotline service suffers from a slow response rate and service ticket handling is inefficient. Through adoption of Huawei Cloud GES, big data and AI methods are used to improve the efficiency of service ticket handling by 60%, call completion rate by 20%, and citizen satisfaction by 87%, significantly improving the government service overall.

In the finance industry, as digital finance continues to develop, electronic payments have become an inevitable trend. At the same time, however, promotion exploitation, malicious cash-outs, and other methods of fraud are also emerging. To control these risks, it is crucial to identify abnormal card usage and malicious cash-outs from massive amounts of electronic payment data. However, most graph database products in the industry do not provide built-in algorithms for such purposes. Huawei Cloud GES offers 30+ built-in algorithms to help financial analysts quickly identify abnormal card usage. For example, in financial anti-fraud scenarios, GES uses abundant built-in algorithms to respond to six-hop service queries in seconds and loop detection in minutes, reducing the perception of guarantee risks from dozens of minutes to about 1 minute.

In the Internet industry, customers face challenges such as the high costs of self-built infrastructure, long application rollout periods, low efficiency of existing solutions, and unsatisfactory recommendation results. With Huawei Cloud GES, personalized recommendations of friends, offerings, or information can be achieved with an accuracy of up to 80%. Users can be grouped based on profiles, behavior similarity, or friend relationships for group analysis and management, improving efficiency by 90%. Based on association relationships, such as enterprise investment and holding, GES allows for the "one-click display of overall company ownership structure" through its unique in-depth tracing capability between enterprises.

Continuous Innovation Makes GES More Professional

At HDC.Cloud 2023, Huawei Cloud Pangu models 3.0 were released to provide intelligent solutions for customers in various industries. Powered by the Pangu multimodal model, and leveraging multimodal knowledge graphs and the knowledge graph embedding technique, Huawei Cloud GES supports graph neural network algorithms to improve recognition results and assist customers in decision-making. In the future, Huawei Cloud GES will continue to strengthen in-depth integration with data analysis platforms and Pangu models and continue striving towards technological innovation to provide more flexible, converged, and intelligent services for enterprises and to accelerate enterprise digital transformation for a new digital future.

 

About IDC MarketScape

IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of IT, telecommunications, or industry-specific suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor's position within a given market. IDC MarketScape provides a clear framework in which the product and service offerings, capabilities and strategies, and current and future market success factors of IT, telecommunications, or industry-specific vendors can be meaningfully compared. The framework also provides technology buyers with a transparent foundation to allow companies to independently compare the strengths and weaknesses of current and prospective vendors.