Oracle to Offer Snowflake AI Data Cloud as First-Party OCI Service

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.