Core Insights - OceanBase has surpassed 4,000 global customers since its commercialization in 2020, achieving an average annual growth rate of over 100% for five consecutive years [1] - The company's technology is deeply integrated across various sectors including finance, government, telecommunications, retail, manufacturing, and the internet, covering 16 countries and regions [1] - The growth is driven by a dual strategy of "private cloud + public cloud" and is rooted in 15 years of technological development and engineering capabilities [1] Private Cloud Growth - OceanBase's private cloud customer base has grown by 50% in the past year, primarily driven by the demand for stability and consistency in core systems [2] - The company has made significant inroads into the financial sector, with the "Hundred Banks Plan" achieving milestones in 2025, serving all policy banks and over 100 banks with assets exceeding 100 billion [2] - OceanBase has maintained its position as the leading distributed database in China for three consecutive years, according to IDC reports [2] Benchmark Cases - Notable implementations include Ping An Group's full-stack deployment across banking, insurance, and funds, and Cathay Securities' upgrade of over 100 systems to OceanBase, significantly enhancing batch processing performance [3] - OceanBase has also made strides in the public sector, with one-third of provincial human resources systems in China now utilizing its services [3] - The company has established a strong presence in high-reliability scenarios such as transportation, energy, and healthcare [3] Public Cloud Revenue - Public cloud revenue now accounts for 30% of OceanBase's total revenue, with an average annual growth rate of 115% over the past three years [4] - The public cloud's core advantage lies in its "multi-cloud native" capabilities, allowing for seamless operation across major cloud infrastructures without requiring application modifications [4] International Expansion - OceanBase's vector database capabilities have ranked among the top ten globally, with significant international achievements including partnerships with local fintech companies in Southeast Asia [5] - The company has served over 50 overseas clients, receiving recognition from Gartner for two consecutive years [5] Ecosystem Growth - The growth of OceanBase is fundamentally driven by its ecosystem, with partners contributing over 70% of private cloud revenue and experiencing an 80% annual growth rate [6] - The public cloud ecosystem is also expanding, with partner revenue surpassing 30% and a 300% annual growth rate [6] Service Capability Enhancement - In 2025, OceanBase plans to increase the number of senior experts and service ecosystem specialists by 30% and 50%, respectively, to improve response and resolution efficiency [7] - The establishment of service centers in Malaysia, Europe, and North America aims to provide comprehensive support for global clients [7] Future Direction - OceanBase is embarking on a new paradigm of "Data×AI," integrating transaction processing, analytical processing, and AI capabilities into a single core [8] - The company aims to become a smart data entry point in the AI era, focusing on comprehensive integration of architecture, storage, and load [8] - OceanBase has a history of overcoming extreme challenges and is committed to becoming a world-class database provider, emphasizing correctness, stability, and performance [8]

中国经济网北京11月18日讯（记者 李方） 11月18日，OceanBase CEO杨冰在2025 OceanBase年度发布会 上透露，自2020年商业化以来，OceanBase全球客户数已突破4000家，连续五年年均增速超100%。其技 术已深入金融、政务、通信、零售、制造、互联网等十余领域，服务覆盖16个国家和地区、60多个地 域、240多个可用区。"这一增长源于'专有云+公有云'双轮驱动，我们的目标始终明确，打造一款世界 级数据库。"杨冰表示。 过去一年，OceanBase专有云客户数增长50%，增长主力来自对稳定性、一致性要求最严苛的核心系 统，而非边缘应用。IDC报告显示，OceanBase在中国市场产品能力与本地部署分布式数据库份额均居 第一，并连续三年蝉联墨天轮中国数据库流行榜榜首。同时，OceanBase连续两年稳居中国分布式金融 本地部署市场第一。 如果说专有云是"压舱石"，公有云（OB Cloud）则是"第二增长曲线"。近三年，OB Cloud客户数年均增 长115%，营收占比已达30%。 OB Cloud的核心优势在于"多云原生"，基于对象存储实现OLTP存算分离，通过共享日志支持跨可 ...

在交通、能源、医疗等高可靠场景，OceanBase同样站稳脚跟：中航信、南航、川航等航空单位迁移稳 态核心系统；12123交管平台及北上广深等地铁系统广泛部署；联合东软、和仁科技等共建三甲医院 HIS系统，推动医疗数据底座升级。 如果说专有云是"压舱石"，公有云（OB Cloud）则是"第二增长曲线"。近三年，OB Cloud客户数年均增 长115%，营收占比已达30%。 OB Cloud的核心优势在于"多云原生"：基于对象存储实现OLTP存算分离，通过共享日志支持跨可用区 容灾，主备自动切换、跨云双向同步等能力保障业务连续性。目前，它已稳定运行于阿里云、华为云、 腾讯云、百度智能云、AWS、Azure、GCP七大主流云基础设施，应用无需改造即可"一套架构、全球运 行"。 这一能力正成为企业高增长的关键支撑，已在零售、金融科技、消费电子和泛互联网行业规模化落地。 高德依托OceanBase为亿级用户提供稳定服务，性能提升25%、成本降低50%；安踏支撑并购后高速增 长，性能提升2–3倍，开发周期减半；越来越多的中国千亿级消费电子企业选择OB Cloud出海，如高驰 运动统一全球100多个国家技术栈，海外存储成 ...

Core Viewpoint - The announcement of the rebranding of OceanBase to "海扬数据库" (Haiyang Database) signifies the company's commitment to the domestic market and its ambition to lead innovation in distributed database technology globally [1][4]. Company Overview - OceanBase has evolved from a payment core system to a distributed database, demonstrating its capability to handle peak transaction demands, such as processing 420,000 transactions per second during high-traffic events like "Double Eleven" [4]. - The company emphasizes its "100% self-research" approach, which allows it complete control over its core code and the ability to adapt to complex business scenarios [4][5]. Market Position and Growth - OceanBase has experienced over 100% growth in customer numbers for four consecutive years, establishing benchmark cases in key industries such as finance, government, telecommunications, and transportation [5]. - The company has expanded its global footprint, providing services in over 50 geographical regions, including Asia-Pacific, the Middle East, Africa, Europe, and the Americas [5]. Industry Context - The rise of digital economy and AI technologies presents unprecedented challenges for database storage, processing, and analysis capabilities, creating significant opportunities for domestic databases like OceanBase [7]. - The demand for reliable, high-performance, and cost-effective database solutions is increasing as companies undergo digital transformation [7]. Future Strategy - OceanBase plans to continue focusing on both private and public cloud sectors, addressing core system upgrade challenges and expanding its ecosystem through partnerships [8]. - The company aims to leverage its distributed architecture and technology innovations to provide integrated data solutions for the AI era, with recent product releases already validated in leading industries [8].

Group 1 - OceanBase officially launched its Chinese brand name "海扬数据库" (Haiyang Database) on June 26, marking a comprehensive brand strategy upgrade, which reflects the company's commitment to the domestic market and its ambition to lead innovation in distributed database technology globally [1] - The new brand name "海扬" symbolizes OceanBase's capability to handle massive data volumes, exemplified by its ability to process up to 420,000 transactions per second for Alipay, showcasing its strong distributed architecture [1] - OceanBase has undergone 15 years of independent research and development, emphasizing its commitment to self-research and innovation in the face of the growing data demands driven by the digital economy [1] Group 2 - Since its inception in 2010, OceanBase has developed a native distributed architecture that has successfully passed rigorous tests in high-transaction scenarios, achieving breakthroughs in high availability, performance, and scalability [2] - Since its commercialization in 2020, OceanBase has seen its customer base grow over 100% for four consecutive years, establishing numerous benchmark cases in key industries such as finance, government, and telecommunications [2] - OceanBase is actively building an open ecosystem, collaborating with over 1,200 partners, contributing 4 million lines of open-source code, and achieving over 60,000 cluster deployments with downloads exceeding one million [2] Group 3 - With the advent of the AI era, OceanBase is focusing on a "Data×AI" strategy to create an integrated data foundation for enterprises, helping them gain a competitive edge in AI applications [2] - The company has released version 4.4.0 of its integrated data foundation for the AI era and its first application product, PowerRAG, which has been validated in leading enterprises across various industries [2] - OceanBase aims to establish "海扬数据库" as a well-known brand in the global database market, ensuring that Chinese database technology secures a place on the global stage [3]

Core Viewpoint - The article discusses the critical importance of data in the AI era, emphasizing the transition from traditional data infrastructure to an integrated data foundation that supports both AI and data processing [1][4][6]. Group 1: Importance of Data in AI - High-quality data is becoming increasingly scarce, particularly human-generated data, while new data generated by technologies like generative AI is surging [4]. - IDC predicts that global data generation will reach 393.9 ZB by 2028, growing at an average annual rate of nearly 28% from 147 ZB in 2024 [4][5]. - The challenges posed by data fragmentation, scalability, and real-time analysis capabilities are critical for the success of AI applications [4][6]. Group 2: Evolution of Data Infrastructure - The concept of data infrastructure is evolving from merely supporting AI to becoming an integral part of AI workflows, termed "Data×AI" [6]. - OceanBase aims to transition from a traditional database to an integrated data foundation that can handle mixed workloads and support AI applications [2][9]. Group 3: Challenges in Data Management - Data fragmentation is a significant issue, especially in complex industries like finance and healthcare, where data is dispersed across various systems [7]. - Multi-modal data processing is complicated due to the unique structures and characteristics of different data types, necessitating advanced data alignment and synchronization capabilities [7][8]. - Evaluating data quality is increasingly difficult due to the diversity and dynamism of data sources, requiring a robust and adaptable quality assessment system [8]. Group 4: OceanBase's Strategic Direction - OceanBase has made significant advancements in data processing capabilities, including distributed storage and multi-modal data handling [9][11]. - The company is focusing on four key areas: becoming a knowledge base, breaking down data silos, serving as a reliable AI advisor, and managing traffic fluctuations effectively [14]. - OceanBase has introduced a new RAG service, PowerRAG, which streamlines the process of identifying, segmenting, and embedding documents for AI applications [17][20]. Group 5: Market Position and Future Outlook - OceanBase has established itself as a leading open-source database, with over a million downloads and more than 50,000 deployments [21]. - The company is confident in its "Data×AI" strategy, believing that those who can effectively integrate data and AI will become the foundational data providers in the AI era [24][25]. - The database industry is evolving alongside AI, with OceanBase positioning itself to support the next generation of data infrastructure [26].

Core Viewpoint - OceanBase is transitioning to an AI-driven era, focusing on integrating data and AI capabilities to enhance its product offerings and market position [1][5]. Group 1: AI Strategy and Product Development - OceanBase has introduced AI-driven products such as PowerRAG, which provides out-of-the-box RAG application development capabilities, facilitating quick development of various AI applications [3][5]. - The company aims to become an integrated data foundation for the AI era, with PowerRAG being the first step in this direction [3][5]. - OceanBase's "shared storage" product allows deep integration of object storage with transactional databases, potentially reducing storage costs by up to 500% [3][4]. Group 2: Market Context and Challenges - The global data generation is expected to reach 393.9 ZB by 2028, driven by technologies like generative AI, presenting significant challenges for data storage, management, and analysis [6]. - The database industry is facing intense price competition, with many companies relying on open-source technologies, leading to low profit margins [7]. - OceanBase acknowledges the importance of cost-effectiveness in the database sector, emphasizing that higher quality often accompanies better pricing strategies [7]. Group 3: Future Outlook and Data Quality - OceanBase is in the early stages of establishing a robust data foundation, which is crucial for future AI applications [6]. - The company recognizes the challenges associated with data quality and availability, which are critical for improving AI model performance [7]. - The integration of enterprise data with AI models is complex, and OceanBase is focused on addressing these challenges through its product offerings [7].