Dameng Data: Database appliances key to second growth curve
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On September 17, Wuhan Dameng Data held an investor exchange meeting where Chairman Feng Yucai and Deputy General Manager Feng Yuan outlined the company's strategic focus. Feng Yucai stated that the database appliance business is a key direction for the company's second growth curve, targeting critical industry clients in government, finance, and energy with high performance and stability requirements. The company is researching AI for DB (using AI to optimize databases) and DB for AI (databases supporting AI implementation). Deputy General Manager Feng Yuan revealed future R&D priorities including cluster database ASM mirroring functions, query optimization, subscription and synchronization of massive unstructured data, low-code data integration, and database appliances based on Offload computing. The company's R&D strategy balances continuous iteration of kernel technologies with ecosystem compatibility and intelligent application capabilities to consolidate its core technology advantage and seize opportunities from AI and data convergence.
Source report
On September 17, Wuhan Dameng Data (hereinafter "Dameng Data") held an investor exchange meeting, addressing core topics including AI database technology, database appliances, and R&D investment.
AI Demand Drives Industry Transformation
The sustained surge in AI demand has brought comprehensive changes to the database industry, presenting both opportunities and challenges for data vendors.
Database Appliances as Second Growth Curve
Feng Yucai, Chairman of Dameng Data, informed investors that the company places significant emphasis on its database appliance business. The company has incorporated this product line into its core strategic layout and explicitly identified it as a key direction for the company's second growth curve.
Currently, the database appliance product primarily targets critical industry clients in:
- Government and party affairs
- Finance
- Energy
- Other sectors with high requirements for performance and stability
The product is designed to address business challenges such as high-concurrency access and real-time analysis under hybrid architectures, thereby meeting these industry clients' needs for core business systems.
R&D Investment and AI Integration
In response to investor concerns about R&D investment, Feng Yucai stated that the company is researching and advancing two key technologies:
- AI for DB: Leveraging artificial intelligence to optimize databases
- DB for AI: Databases supporting AI implementation
Future R&D Priorities
Feng Yuan, Deputy General Manager of Dameng Data, revealed that the company's upcoming R&D investment will focus on several key areas, including:
- Research on cluster database ASM mirroring functions and key query optimization technologies
- Research on subscription and synchronization of massive unstructured data
- Low-code data integration technologies
- Development of database appliances based on Offload computing (computing offloading)
- Other related projects
"Overall, the company's R&D strategy balances continuous iteration of underlying kernel technologies with the expansion of ecosystem compatibility and intelligent application capabilities," said Feng Yuan. "This aims to consolidate our leading advantage in core technologies while actively seizing new opportunities brought by the convergence of AI and data, building solid technical support for long-term development."
Source: Securities Daily
Source
东方财富网-A股公司Eastern