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Oracle 提供 Snowflake AI 数据云作为第一党 OCI 服务
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在2026年10月27日于拉斯维加斯的Oracle AI World的联合公告中，Oracle和Snowflake 称 Snowflake AI Data Cloud将在Oracle 云基础设施(OCI)上作为本土，第一当事方服务提供，客户可以通过Oracle直接购买和提供报价。
Oracle 称加入扩展提供AI和数据能力帮助各组织加速企业AI倡议。 通过让Snowflake与Oracle的基础设施组合，AI，数据和应用服务一同提供，称，客户公司获得了更大的灵活性，可以将企业数据投入工作，推动AI驱动的创新。
称 Oracle CEO Clay Magouyrk。 他表示，“通过提供Snowflake作为本地OCI服务，我们给予客户更多的AI选择和他们可以使用的数据能力，同时简化他们如何部署、管理和支付这些服务的费用。”
Oracle 称任务关键业务数据通过Oracle AI数据库，Oracle自主AI数据库，Oracle融合云应用，Oracle NetSuite，以及其他Oracle服务进行管理，并将Snowflake作为本地的OCI服务添加到它所提供的扩展。 SnowflakeCEO斯里达尔·拉马斯瓦米(英语：Sridhar Ramaswamy)将Snowflake描述为旗舰AI数据平台合作伙伴，作为OCI内部的首发报价运行，表示联合客户获得了将他们的Oracle数据产业区转变为AI准备基础的权力，治理和安全性可以有自信地大规模移动。
通过 Oracle 购买和计费
Oracle 称客户可以通过Oracle本身购买，提供，消费服务，由Oracle管理定价，折扣，以及单一商业关系中的计费。 客户还将能够使用Oracle通用信用在OCI上消费Snowflake，称公司通过让其利用现有的云承诺来简化采购。
Snowflake产品执行副总裁克里斯蒂安·克莱内曼(Christian Kleinerman)在当天发表的一篇博客文章中写道，客户将根据与Oracle的直接合同购买Snowflake，通过OCI接收账单，并通过综合OCI体验获得服务。 一旦一个账户通过OCI控制平面提供，他写道，仓库的日常管理、数据库、数据管道和访问控制都留在Snowflake自己的工具中。
在Kleinerman的定义中，" 本地 " 和 " 第一当事方 " 的标签是指AI Data Cloud在OCI上运行，通过Oracle的商业渠道销售，并通过综合OCI经验访问。
计划与 Oracle 应用程序和数据库的整合
OCI上的Oracle 称 Snowflake旨在帮助各组织以四个关键方式从其企业数据中获得更多价值。 该设计扩展了Snowflake的分析和AI能力，更接近任务关键企业数据，支持来源包括Oracle融合云应用，Oracle NetSuite,Oracle自主AI数据库，MySQL热华，Oracle NoSQL数据库。 它能够通过支持的集成实现本土数据传输，因此客户可以避免构建定制管道，加快企业数据用于报告，数据工程，机器学习，以及AI的洞察。 Oracle 称的设计也旨在保持客户对数据访问，使用和治理的控制，并使得数据在OCI内部移动，因此客户可以更快地到达他们的数据，同时降低跨云数据移动及相关的递进成本。
Snowflake的帖子列出了整个ERP,HCM和SCM的Oracle融合应用程序的计划应用集成以及NetSuite，以及云托管的Oracle数据库，Oracle自治数据库，MySQL HeatWave和Oracle NoSQL数据库的计划数据库集成。 Snowflake 称的提供计划包括数据工程和摄入能力，以及基于角色的访问控制和数据访问政策，以帮助客户管理数据，因为数据可供分析。
Kleinerman指出，Oracle数据源今天已经通过本土和伙伴连接器到达Snowflake，他写道，这一基础上的伙伴关系扩展。 他写道，计划服务与其依赖自定义的管道，不如使用本土集成，将所支持的Oracle应用程序和数据库中的数据移动到OCI上的Snowflake，超速用于分析学和AI. Snowflake 称运行其在OCI上的AI Data Cloud将数据和AI工作量更接近OCI上托管的Oracle数据，在OCI内部传输数据可以加速访问。
计划状况和跨云支助
Snowflake的帖子始终如一地呈现出服务计划而非可用，写道，一旦有可用，OCI上的Snowflake将使其能力跨越AI，分析，数据工程，交易，以及应用程序和协作，更接近Oracle数据库中持有的企业数据，应用程序和OCI服务。
计划服务也是为了支持Snowflake的跨云数据共享，复制，故障，以及与Snowflake账户在其他支持的云和区域的互操作性，但以技术验证和可用性为条件，Kleinerman写道。 他写道，一个基于OCI的账户可以在现有的Snowflake组织内管理，或者一个使用OCI账户创建的组织可以添加其他支持的Snowflake账户。
Kleinerman的帖子说明了将Oracle数据连接到医疗保健、制造、零售和金融领域的潜在用途，并警告说这些例子可能无法反映发布的功能。 例子包括：将临床数据、声称和付款数据与拒绝索赔的表面潜在驱动因素联系起来；将设备和生产数据与订单、库存和供应商信息联系起来，以评估在生产线中断的情况下交付和收入风险；将销售和需求信号与库存挂钩，跨越商店和渠道，为补充和减值决定提供信息；将应收款与交付、争议和客户数据联系起来，以解释付款延误和优先收集。
Kleinerman将伙伴关系设定为将更多的商业数据投入工作的共同目标，并说计划中的提供将受管制的、连接的AI数据与Oracle购买经验以及更紧密地连接到Oracle应用程序和数据库。
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Partnerships
Oracle to Offer Snowflake AI Data Cloud as First-Party OCI Service
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In a joint announcement at Oracle AI World in Las Vegas on October 27, 2026, Oracle and Snowflake said Snowflake AI Data Cloud will be available as a native, first-party service on Oracle Cloud Infrastructure (OCI), with customers able to purchase and provision the offering directly through Oracle.
Oracle said the addition expands the AI and data capabilities it offers to help organizations accelerate enterprise AI initiatives. By making Snowflake available alongside Oracle’s portfolio of infrastructure, AI, data, and application services, the company said, customers gain more flexibility to put their enterprise data to work and drive AI-powered innovation.
“Organizations are looking for faster, simpler ways to turn their enterprise data into business value with AI,” said Oracle CEO Clay Magouyrk. “By making Snowflake available as a native OCI service, we’re giving customers more choice in the AI and data capabilities they can use, while simplifying how they deploy, manage, and pay for those services.”
Oracle said mission-critical business data is managed across Oracle AI Database, Oracle Autonomous AI Database, Oracle Fusion Cloud Applications, Oracle NetSuite, and other Oracle services, and that adding Snowflake as a native OCI service further expands the capabilities it offers. Snowflake CEO Sridhar Ramaswamy described Snowflake as the flagship AI data platform partner running as a first-party offering inside OCI, saying joint customers gain the power to turn their Oracle data estates into an AI-ready foundation with the governance and security to move confidently at scale.
Purchasing and Billing Through Oracle
Oracle said customers will be able to purchase, provision, and consume the service through Oracle itself, with Oracle managing pricing, discounts, and billing under a single commercial relationship. Customers will also be able to consume Snowflake on OCI using Oracle Universal Credits, which the company said simplifies procurement by letting them draw on existing cloud commitments.
In a blog post published the same day, Snowflake executive vice president of product Christian Kleinerman wrote that customers would buy Snowflake under a direct contract with Oracle, receive billing through OCI, and access the service through an integrated OCI experience. Once an account is provisioned through the OCI control plane, he wrote, day-to-day administration of warehouses, databases, data pipelines, and access controls stays within Snowflake’s own tooling.
In Kleinerman’s definition, the “native” and “first-party” labels mean the AI Data Cloud runs on OCI, is sold through Oracle’s commercial channels, and is accessed through an integrated OCI experience.
Planned Integrations With Oracle Applications and Databases
Oracle said Snowflake on OCI is designed to help organizations get more value from their enterprise data in four key ways. The design extends Snowflake’s analytics and AI capabilities closer to mission-critical enterprise data, with supported sources including Oracle Fusion Cloud Applications, Oracle NetSuite, Oracle Autonomous AI Database, MySQL HeatWave, and Oracle NoSQL database. It enables native data transfer through supported integrations so customers can avoid building custom pipelines, speeding the use of enterprise data for reporting, data engineering, machine learning, and AI insights. Oracle said the design is also intended to maintain customer control over data access, use, and governance, and to enable data movement within OCI so customers can reach their data faster while reducing cross-cloud data movement and associated egress costs.
Snowflake’s post listed planned application integrations for Oracle Fusion Applications across ERP, HCM, and SCM, along with NetSuite, and planned database integrations for cloud-hosted Oracle Database, Oracle Autonomous Database, MySQL HeatWave, and Oracle NoSQL Database. Snowflake said the offering is planned to include data engineering and ingestion capabilities, along with role-based access controls and data access policies to help customers govern data as they make it available for analysis.
Oracle data sources already reach Snowflake today through native and partner connectors, Kleinerman noted, and he wrote that the partnership expands on that foundation. Rather than relying on custom pipelines, he wrote, the planned service would use native integrations to move data from supported Oracle applications and databases into Snowflake on OCI, speeding its use for analytics and AI. Snowflake said running its AI Data Cloud on OCI places data and AI workloads closer to Oracle data hosted on OCI, and that transferring data within OCI could accelerate access.
Planned Status and Cross-Cloud Support
Snowflake’s post consistently presented the service as planned rather than available, writing that when available, Snowflake on OCI would bring its capabilities across AI, analytics, data engineering, and transactions, along with applications and collaboration, closer to enterprise data held in Oracle databases, applications, and OCI services.
The planned service is also intended to support Snowflake’s cross-cloud data sharing, replication, failover, and interoperability with Snowflake accounts on other supported clouds and regions, subject to technical validation and availability, Kleinerman wrote. An OCI-based account could be managed inside an existing Snowflake organization, he wrote, or an organization created with the OCI account could add other supported Snowflake accounts.
Kleinerman’s post illustrated potential uses of connected Oracle data across healthcare, manufacturing, retail, and finance, cautioning that the examples may not reflect functionality at launch. The examples included linking clinical, claims, and payment data to surface potential drivers of claim denials; connecting equipment and production data with orders, inventory, and supplier information to assess delivery and revenue exposure if a production line stops; tying sales and demand signals to inventory across stores and channels to inform replenishment and markdown decisions; and connecting receivables with delivery, dispute, and customer data to explain payment delays and prioritize collections.
Kleinerman closed by framing the partnership around a shared goal of putting more business data to work, saying the planned offering combines governed, connected data for AI with an Oracle purchasing experience and tighter connectivity to Oracle applications and databases.
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