华为金融数据库军团总裁杨柏梁认为，当前金融行业面临三大挑战：业务迭代加速要求系统具备更高弹性，安全威胁频发倒逼架构强化防护能力，而监管与 成本压力则推动基础设施向高效集约演进。"唯有构建自主创新的核心数据库体系，才能掌握发展主动权。"他强调，华为正通过"GaussDB+存算分离"架 构，打造面向金融行业的高性能、高可靠、高安全数据库底座。 【环球网科技报道 记者 张阳】10月10日，由苏州农村商业银行与华为联合主办的"2025智慧金融核心数据库转型实践研讨会"在苏州举行。双方宣布，苏州 农商行已在全国区域性银行中率先完成基于华为GaussDB数据库与OceanStor Dorado全闪存存储的"存算分离"核心系统改造，并正式揭牌"新一代金融数据基 础设施样板点"。此举标志着区域银行在核心系统自出创新领域迈出关键一步。 在金融业务线上化、场景化、监管精细化的多重驱动下，核心数据库作为金融IT系统的"心脏"，其自主创新、高可用与高性能能力已成为银行数字化转型的 胜负手。据苏州农商行行长庄颖杰介绍，苏州农商行近年来持续推进科技赋能战略，依托华为提供的全栈基础设施，已完成数据中台、支付系统及核心业务 系统的全面升级。 ...

Core Viewpoint - The article highlights the decline of Oracle in the Chinese market, emphasizing that the company, once dominant, has been rejected by Chinese enterprises due to its exploitative practices and refusal to collaborate with local talent [1][3][4]. Group 1: Oracle's Historical Presence in China - Oracle established a strong foothold in the Chinese market during the 1980s and dominated the database sector for over 30 years, leveraging its advanced software technology [1][3]. - The company exploited the Chinese market by imposing high service fees and creating technical barriers that hindered the development of local companies [3]. Group 2: Response from Chinese Tech Giants - Chinese tech giants like Alibaba and Huawei have emerged as formidable competitors, developing their own database solutions such as OceanBase and GaussDB, which have surpassed Oracle in performance and security [3][4]. - The rise of these domestic technologies signifies a shift towards self-reliance in China's tech industry, breaking the long-standing technical monopoly held by foreign companies [4]. Group 3: Implications of Oracle's Withdrawal - Oracle's decision to close its research center in China marks a significant turning point, indicating that the company can no longer sustain its operations in a market that has evolved beyond its control [3][4]. - This event is portrayed as a victory for China's technological independence and a warning to foreign companies that they must respect and collaborate with local markets to succeed [4].

Core Perspective - Oracle's decline in the Chinese market illustrates the risks of complacency and neglecting local talent development after a long period of market dominance [2][28]. Group 1: Market Entry and Dominance - Oracle entered the Chinese market in the late 1980s, capitalizing on the demand for advanced information technology during China's reform and opening-up period [4]. - The company quickly established a monopoly in the database market, with enterprises paying substantial software and service fees, sometimes reaching hundreds of millions annually [5][8]. Group 2: Business Practices and Employee Treatment - Over time, Oracle's business practices became increasingly aggressive, with exorbitant pricing and mandatory maintenance fees, leading to strained relationships with clients like China Unicom [7][10]. - The company's founder publicly stated a refusal to train Chinese employees, creating a culture where local staff were relegated to menial tasks, while key technical roles remained occupied by foreign employees [12][14]. Group 3: Rise of Domestic Competitors - Discontent among Chinese enterprises led to a surge in domestic database development, with Alibaba, Huawei, and Tencent launching competitive products that outperformed Oracle's offerings at lower prices [16][19][21]. - The Chinese government's push for information technology localization and data security further accelerated the adoption of domestic databases, as critical sectors sought to reduce reliance on foreign technology [23][24]. Group 4: Oracle's Decline - Oracle failed to adapt to market changes, clinging to outdated technology while competitors embraced cloud computing and big data [26]. - A significant layoff in 2019, where over 900 employees were let go, signaled Oracle's retreat from the Chinese market, further confirmed by the removal of its database from key systems by major clients like Taobao [26][28].

Core Insights - Huawei Cloud has launched upgraded AI cloud services and solutions, focusing on building a robust multi-modal computing infrastructure to address challenges in AI deployment [1][2] - The company aims to enhance its AI cloud services by restructuring its AI infrastructure, focusing on computing foundation, resource scheduling, inference services, and cluster reliability [1][2] - Huawei Cloud's GaussDB has improved its distributed performance by 50%, offering PB-level data management capabilities and enhanced security features [2] Group 1 - Huawei Cloud introduced new products including Ascend AI cloud services, CodeArts software development line, MetaStudio digital content production line, and GaussDB database [1] - The company is addressing the challenges of the AI model era, which include high demand for computing power and data management, by upgrading its AI cloud services [1][2] - The Ascend AI cloud service is now compatible with over 160 mainstream large models and serves more than 600 enterprises [3] Group 2 - GaussDB's enhancements include a 10x increase in online expansion speed and the introduction of GaussRecorder for database security [2] - Huawei Cloud has established a comprehensive cloud-native security system with multiple layers to ensure data integrity and compliance [2] - The CodeArts development line has improved end-to-end development efficiency by 30%, while MetaStudio has delivered over 10,000 digital personas through a simplified integration process [2]

Core Insights - Huawei Cloud has launched a series of upgraded products and solutions including Ascend AI Cloud Services, CodeArts, MetaStudio, DataArts, and GaussDB to enhance its cloud offerings and address the challenges of AI implementation [1] Group 1: AI Infrastructure and Services - Huawei Cloud introduced the new generation of Ascend AI Cloud Services based on the CloudMatrix384 super-node cluster, providing large-scale, high-performance, and reliable AI computing power to meet complex model training and inference needs [2] - The GaussDB database has been upgraded to enhance its distributed performance by 50%, offering PB-level data management capabilities and a tenfold increase in online expansion speed [2] - Huawei Cloud has established a comprehensive cloud-native security system with multiple layers to ensure data security and compliance, launching four major security solutions including an end-to-end large model security solution [2] Group 2: Software Development and Support - The CodeArts toolchain has been enhanced to improve end-to-end development efficiency by 30%, covering various intelligent scenarios such as code generation, inspection, and testing [3] - Huawei Cloud supports Sina Weibo's product upgrades and innovations, providing robust elastic scaling capabilities during peak traffic periods and improving cluster utilization by 40% [3] - The Flexus enterprise large model application solution has been introduced to lower the barriers for small and medium-sized enterprises to utilize large models, significantly enhancing reliability and user experience [3]