Snowflake AI Data Cloud Planned as Native First-Party OCI Service

Oracle and Snowflake announced on October 27, 2026, at Oracle AI World in Las Vegas that the Snowflake AI Data Cloud will be available as a native, first-party service on Oracle Cloud Infrastructure (OCI), an expansion of the companies’ existing partnership. Under the Oracle-issued announcement, customers will be able to purchase, provision and consume Snowflake on OCI directly through Oracle, with Oracle managing pricing, discounts and billing as a single commercial relationship. Customers will also be able to apply Oracle Universal Credits toward Snowflake on OCI usage, drawing on existing cloud commitments.

Both companies described the service as planned rather than launched. A Snowflake blog post dated October 27, 2026, and authored by Executive Vice President of Product Christian Kleinerman states that, when available, Snowflake on OCI will bring Snowflake’s capabilities across AI, analytics, data engineering, transactions, applications and collaboration closer to enterprise data in Oracle databases, applications and OCI services. The post frames the offering in conditional terms throughout, describing it as planned, intended and proposed. Neither record gives an availability date or pricing for the service.

“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 (ORCL ) CEO Clay Magouyrk said in the announcement. Snowflake CEO Sridhar Ramaswamy said: “Snowflake is excited to be the flagship AI data platform partner running as a first party offering inside Oracle Cloud Infrastructure, giving joint customers the power to turn their Oracle data estates into an AI-ready foundation with the governance and security to move confidently at scale.”

Commercial Terms and Planned Integrations

The Snowflake post defines “native” and “first-party” for customers as the AI Data Cloud running on OCI, available through Oracle’s commercial channels and accessible through an integrated OCI experience. Under the proposed commercial model, customers would contract directly with Oracle to purchase Snowflake, would be billed through OCI and, after provisioning a Snowflake account through the OCI control plane, would manage warehouses, databases, data pipelines and access controls using familiar Snowflake capabilities.

On connectivity, planned application integrations include Oracle Fusion Applications for ERP, HCM and SCM, along with NetSuite, while planned database integrations include cloud-hosted Oracle Database, Oracle Autonomous Database, MySQL HeatWave and Oracle NoSQL Database, according to the post. Snowflake states the planned offering would use native integrations to bring data from supported Oracle applications and databases into Snowflake on OCI, reducing the need for custom pipelines, and would include data engineering and ingestion capabilities with role-based access controls and data access policies for governing data as it is made available for analysis.

Oracle’s release lists four design goals for the service: extending 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; accelerating analytics and enterprise AI through native data transfer; maintaining customer control over data access, use and governance; and reducing egress costs through data movement within OCI. Snowflake’s post makes the egress point conditionally, stating that transferring data within OCI could accelerate access and reduce cross-cloud data movement and associated egress costs.

Industry Use Cases and Prior Collaboration

Snowflake’s post walks through illustrative AI-assisted workflow examples spanning healthcare, manufacturing, retail and finance, cautioning that they may not reflect functionality at launch. The healthcare example connects clinical, claims and payment data to identify potential drivers of claim denials, prioritize billing issues and help recover unpaid revenue. The manufacturing example connects equipment and production data with orders, inventory and supplier information to assess delivery and revenue exposure and evaluate recovery options. The retail example ties sales and demand signals to inventory across stores and channels to identify stockout and excess-stock risks and guide replenishment, transfer and markdown decisions, while the finance example connects receivables with delivery, dispute and customer data to explain payment delays and prioritize collections.

Beyond a single cloud, Snowflake on OCI is planned to support cross-cloud data sharing, replication, failover and related interoperability with Snowflake accounts in other supported clouds and regions, subject to technical validation and availability. Customers would be able to manage a Snowflake on OCI account within an existing Snowflake organization or add other supported accounts to an organization initially created with the OCI account, according to the post.

The companies already operate a data-connectivity partnership. The Snowflake Openflow Connector for Oracle, developed in collaboration with Oracle, reached general availability on March 4, 2026, following a private preview announced on October 30, 2025. The agentless connector uses Oracle’s XStream-based change data capture to stream data from Oracle instances into Snowflake without requiring customers to manage third-party replication infrastructure, and is available in AWS commercial regions with Bring Your Own Cloud deployments and in AWS and Azure commercial regions with Snowflake deployments. Snowflake’s announcement notes that customers already connect Oracle data sources to Snowflake through native and partner connectors, describing the planned OCI service as an expansion of that foundation.