<h3 style="text-align:center"><span style="font-size:14px"><span style="color:#606060"><span style="font-family:&quot;Open Sans&quot;,sans-serif"><em>本次收购打造业内首个面向AI的统一运营平台&mdash;&mdash;融合事务处理、分析能力与内存级性能优势,推动消除基础设施碎片化问题</em></span></span></span></h3> <div class="storycontent" style="margin-top:10px; padding-right:10px; text-align:start"> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="color:#949494">&nbsp;</span><a href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fmariadb.com%2F&amp;esheet=54461233&amp;newsitemid=20260324783114&amp;lan=zh-CN&amp;anchor=MariaDB+plc&amp;index=1&amp;md5=ffac6e8267137472d7b77a98ed42617c" style="color:#0066cc; font-size:14px; text-decoration-line:none; outline:none !important">MariaDB plc</a><span style="color:#464646"><span style="font-size:14px">今日宣布,已顺利完成对内存计算领域先驱、Apache Ignite背后核心推动力量</span></span><a href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.gridgain.com%2F&amp;esheet=54461233&amp;newsitemid=20260324783114&amp;lan=zh-CN&amp;anchor=GridGain+Systems%2C+Inc.&amp;index=2&amp;md5=e113eee616da302af8325bdb6a4f53ff" style="color:#0066cc; font-size:14px; text-decoration-line:none; outline:none !important">GridGain Systems, Inc.</a><span style="color:#464646"><span style="font-size:14px">的收购。此次战略性收购标志着MariaDB正加速推进&ldquo;AI就绪&rdquo;运营平台的落地。该统一平台旨在应对自主型AI智能体对超高速数据处理的严苛需求。</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">随着企业从基础型AI助手迈向具备推理与行动能力的自主Agentic系统,传统数据层正逐渐触及性能与架构的瓶颈。通过整合GridGain的内存计算技术,MariaDB现已构建统一的高性能、高吞吐且具备持久化能力的数据基础层,全面支撑AI全生命周期需求&mdash;&mdash;从实时数据摄取到复杂推理决策。</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">MariaDB首席执行官Rohit de Souza表示:&ldquo;过去18个月来,我们持续推动MariaDB面向Agentic时代的能力升级。通过将GridGain纳入整体版图,我们为企业打造了一个统一平台,可高效承载复杂的数据处理与计算任务,显著降低人工数据整合带来的摩擦与复杂性。同时,我们定义并构建了AI智能体实现实际价值所需的高吞吐数据基础层,并由单一厂商提供一体化支持与服务保障。&rdquo;</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646"><strong>弥合Agentic鸿沟</strong></span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">该平台的推出正回应行业加速演进所带来的迫切需求。<a href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.gartner.com%2Fen%2Fnewsroom%2Fpress-releases%2F2025-08-26-gartner-predicts-40-percent-of-enterprise-apps-will-feature-task-specific-ai-agents-by-2026-up-from-less-than-5-percent-in-2025&amp;esheet=54461233&amp;newsitemid=20260324783114&amp;lan=zh-CN&amp;anchor=Gartner&amp;index=3&amp;md5=7a79d1802fbb5d96708c5467f57b7492" style="color:#0066cc; text-decoration-line:none; outline:none !important">Gartner</a><span style="font-size:10.5px">&reg;</span>预测:&ldquo;到2026年,40%的企业应用将配备面向特定任务的AI智能体,而这一比例在2025年尚不足5%。&rdquo;&sup1; 若缺乏高质量的数据基础支撑,IDC进一步指出:&ldquo;到2027年,未能建立高质量、AI就绪数据基础的企业,将因生成式与Agentic系统表现受限,面临约15%的生产力损失。&rdquo;<em>(IDC&nbsp;</em><a href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fmy.idc.com%2Fgetdoc.jsp%3FcontainerId%3DUS53860925&amp;esheet=54461233&amp;newsitemid=20260324783114&amp;lan=zh-CN&amp;anchor=FutureScape+2026%26%2365307%3B%26%2331867%3B%26%2321035%3B%26%2365306%3B%26%2320840%3B%26%2329699%3BAgentic%26%2320154%3B%26%2324037%3B%26%2326234%3B%26%2333021%3B%26%2365307%3B%26%2339044%3B%26%2327979%3B1&amp;index=4&amp;md5=1f2316dfd86bc49db5d552a886d7bb76" style="color:#0066cc; text-decoration-line:none; outline:none !important"><em>FutureScape 2026</em><em>;类别:全球Agentic</em><em>人工智能;预测1</em></a>&nbsp;<em>)。</em></span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">MariaDB全新平台通过整合以往割裂的技术与数据层,直击这一关键转折点:</span></span></span></span></span></p> <ul style="margin-left:20px"> <li><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><strong>统一事务与分析处理:</strong>在同一平台上实现在线事务处理与实时分析的融合运行,消除ETL(提取、转换、加载)带来的流程摩擦与性能损耗。</span></span></span></li> <li><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><strong>内存级高性能:</strong>依托GridGain的内存计算技术优势,为Agentic工作负载提供亚毫秒级响应能力。</span></span></span></li> <li><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><strong>原生AI就绪:</strong>内置向量能力,支持嵌入(embeddings)的存储、索引与查询,并集成MCP服务器及主流AI框架接口,是构建RAG(检索增强生成)工作负载的关键基础。</span></span></span></li> <li><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><strong>全球规模扩展能力:</strong>支持跨混合云及多云环境的AI部署,并实现即时弹性扩展。</span></span></span></li> </ul> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646"><strong>Agentic转型:无需组装的一体化数据平台</strong></span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">MariaDB不再要求开发者手动拼接用于内存管理、向量检索与事务处理的多套数据库系统,而是通过统一平台提供&ldquo;单一视图&rdquo;(single pane of glass)。这一模式显著降低系统复杂性与总体拥有成本(TCO),使开发者能够专注于构建智能体逻辑,而无需耗费精力应对后端架构的整合与瓶颈问题。</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">MariaDB plc首席产品官Vikas Mathur表示:&ldquo;在当前这一规模下构建系统,无异于试图用一桶乐高积木拼装一台高速运转的机器&mdash;&mdash;零件虽然齐全,却并非为如此高强度的协同运行而设计。随着AI进入高速演进阶段,响应时间窗口正不断收窄。对于MariaDB这样的平台而言,响应不再以秒计,而是必须在个位数毫秒内向智能体提供结果。通过内置高性能内存&lsquo;底座&rsquo;,我们有效消除了人工拼装带来的摩擦,为开发者提供了一个统一的数据基础层,能够支撑智能体所需的超大规模与高性能需求。&rdquo;</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646"><strong>前瞻布局:分布式未来</strong></span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">GridGain的技术为MariaDB下一阶段演进奠定了坚实基础&mdash;&mdash;构建全球分布式数据层。随着AI智能体日益走向自主化与分布式运行,其所依赖的数据体系亦需具备同等水平的韧性与本地化能力。通过将MariaDB Enterprise Platform拓展至分布式架构,MariaDB确保这一数据基础层可在全球范围内灵活扩展,同时持续保持机器级工作负载所要求的亚毫秒级响应性能。这一进展显著加速了MariaDB对&ldquo;以机器速度为基准&rdquo;的未来愿景的落地。</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646"><strong>持续释放强劲增长动能</strong></span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">完成对GridGain的收购,是MariaDB围绕AI时代重塑现代数据技术栈的一系列战略举措中的最新里程碑。过去18个月,MariaDB显著提速创新节奏,先后完成对SkySQL(云/DBaaS)及Galera Cluster(高可用集群)的收购并实现全面整合。近期,MariaDB发布了<a href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fmariadb.com%2Fnewsroom%2Fpress-releases%2Fmariadb-unveils-unified-cloud-database-platform-designed-to-accelerate-agentic-ai-application-development%2F&amp;esheet=54461233&amp;newsitemid=20260324783114&amp;lan=zh-CN&amp;anchor=MariaDB+Enterprise+Platform+2026&amp;index=5&amp;md5=0cf7575a51bc4ba335460871c3a0653c" style="color:#0066cc; text-decoration-line:none; outline:none !important">MariaDB Enterprise Platform 2026</a>,作为业内首个集成原生&ldquo;RAG-in-a-box&rdquo;管道与Model Context Protocol(MCP)支持的统一解决方案,使AI智能体能够直接与企业数据交互。此外,公司还于去年推出<a href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fmariadb.com%2Fnewsroom%2Fpress-releases%2Fmariadb-and-exasol-announce-strategic-partnership-to-bring-unified-high-performance-analytics-at-unprecedented-cost-efficiency%2F&amp;esheet=54461233&amp;newsitemid=20260324783114&amp;lan=zh-CN&amp;anchor=MariaDB+Exa&amp;index=6&amp;md5=5e5495ce3c8851c53d39c22a71fbf2af" style="color:#0066cc; text-decoration-line:none; outline:none !important">MariaDB Exa</a>,这一高性能分析引擎可在无需ETL或数据迁移的情况下,对事务数据实现近实时分析。</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">这一持续的创新投入亦赢得了业界的高度认可。过去一年,MariaDB先后荣获<a href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fmariadb.com%2Fnewsroom%2Fpress-releases%2Fmariadb-wins-best-overall-database-in-the-2025-dbta-readers-choice-awards%2F&amp;esheet=54461233&amp;newsitemid=20260324783114&amp;lan=zh-CN&amp;anchor=2025%26%2324180%3BDBTA+Readers%26%238217%3B+Choice+Award%26%238220%3B%26%2326368%3B%26%2320339%3B%26%2325972%3B%26%2320307%3B%26%2325968%3B%26%2325454%3B%26%2324211%3B%26%238221%3B&amp;index=7&amp;md5=92995a60a95c97c8e2bb510e401b911a" style="color:#0066cc; text-decoration-line:none; outline:none !important">2025年DBTA Readers&rsquo; Choice Award&ldquo;最佳整体数据库&rdquo;</a>以及<a href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fmariadb.com%2Fnewsroom%2Fpress-releases%2Fmariadb-enterprise-platform-wins-ai-techaward-for-best-in-open-source-ai%2F&amp;esheet=54461233&amp;newsitemid=20260324783114&amp;lan=zh-CN&amp;anchor=2025%26%2324180%3BAI+TechAward%26%238220%3B%26%2324320%3B%26%2328304%3BAI%26%2326368%3B%26%2320339%3B%26%2326041%3B%26%2326696%3B%26%238221%3B&amp;index=8&amp;md5=925ae12080f29192d5c06c9fe46c4d05" style="color:#0066cc; text-decoration-line:none; outline:none !important">2025年AI TechAward&ldquo;开源AI最佳方案&rdquo;</a>等多项重要奖项。叠加原生向量检索能力的推出及全新无服务器云体验的引入,MariaDB进一步巩固了其作为突破传统数据库架构与性能限制的高吞吐替代方案的领先地位。</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646"><strong>客户与分析师背书</strong></span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">Hatch首席信息官Tara Drover表示:&ldquo;在Hatch,我们负责确保全球部分最复杂的工程与建设项目按时交付。为支撑这一全球化规模的运营需求,我们已从传统僵化、割裂的基础设施转型为以数据为核心的平台架构。通过迁移至GridGain,我们显著缩短了数据处理时间,将以往需数分钟完成的复杂分析及项目中期调整,提升至近乎即时的处理效果。这正是我们迈向Agentic未来、为客户提供智能化与预测性项目管理能力所亟需的高性能支撑。我们期待GridGain成为MariaDB平台的重要基础组成部分,通过统一平台支撑我们所服务行业中新一代自主化与数据密集型工作负载的发展。&rdquo;</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">IDC数据管理研究总监Devin Pratt表示:&ldquo;MariaDB正通过整合原生向量检索能力、借助MariaDB Exa实现高性能分析,以及重新收购SkySQL以强化云交付能力,逐步构建更为完善的AI就绪平台。此次对GridGain的收购,将其战略进一步延伸至内存计算与实时数据处理领域,有望吸引寻求更开放架构、以替代碎片化或专有数据技术栈的企业用户。&rdquo;</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646"><a href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fgo.mariadb.com%2F2026Q2-GLBL-WBN-MariaDBGridGain_Registration-LP.html&amp;esheet=54461233&amp;newsitemid=20260324783114&amp;lan=zh-CN&amp;anchor=%26%2327426%3B%26%2336814%3B%26%2327880%3B%26%2320876%3B%26%2321363%3B%26%2323558%3B%26%2320030%3B%26%2321150%3B%26%2330340%3B%26%2332593%3B%26%2332476%3B%26%2330740%3B%26%2335752%3B%26%2320250%3B%26%2365306%3B&amp;index=9&amp;md5=723992be4e55ae7069a859e6941a23aa" style="color:#0066cc; text-decoration-line:none; outline:none !important"><strong>欢迎注册即将举办的网络研讨会:</strong></a>加入我们于2026年4月8日举行的联合网络研讨会,深入了解MariaDB与GridGain如何共同驱动企业Agentic AI战略落地。</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646"><strong>关于MariaDB</strong><br /> MariaDB致力于消除专有数据库所带来的限制与复杂性,帮助企业将资源聚焦于最具价值的领域&mdash;&mdash;加速开发面向客户的创新应用。企业可依托单一且完整的混合数据库平台,满足各类业务需求,并在数分钟内完成部署,支持事务处理、分析处理、混合负载及AI等多种应用场景。MariaDB已赢得德意志银行(Deutsche Bank)、星展银行(DBS)、诺基亚(Nokia)、红帽(Red Hat)、三星(Samsung)及Virgin Media O2等全球领先企业的信赖,在不承担传统数据库厂商高昂成本的前提下,为客户持续创造业务价值。&nbsp;</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">&sup1;Gartner新闻稿:《Gartner预测:到2026年,40%的企业应用将配备面向特定任务的AI智能体(2025年该比例不足5%)》,2025年8月发布&nbsp;。</span></span></span></span></span></p> <p><span style="font-size:12px"><span style="color:#222222"><span style="font-family:Arial"><span style="font-size:14px"><span style="color:#464646">Gartner为Gartner, Inc.及/或其关联公司的注册商标,本文经授权使用。保留所有权利。</span></span></span></span></span></p> </div> <p>&nbsp;</p>