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Oracle and Snowflake have announced that Snowflake AI Data Cloud is now available as a native, first-party service on Oracle Cloud Infrastructure (OCI). The integration provides enterprise engineering teams direct access to Snowflake analytical and machine learning capabilities alongside Oracle databases, business applications, and infrastructure.
Organizations can purchase, provision, and operate Snowflake directly through the OCI console. The offering supports Oracle Universal Credits. This unified structure lets companies draw down existing cloud commitments while consolidating billing into a single commercial relationship.
Why the Oracle and Snowflake Partnership Matters
Enterprise AI projects often struggle with separated data architectures. Most large corporations store core operational records in Oracle relational databases and enterprise resource planning software. Meanwhile, analytics and data science groups build predictive models, business intelligence dashboards, and modern data lakes inside Snowflake.
Connecting these two systems in the past required complex data pipelines. Engineering teams had to build virtual private network tunnels, manage dual security permissions, and pay steep network egress fees to transfer data between separate cloud vendors. In our recent analysis of how AI startups win enterprise deals by answering the Four Cs, solving context and control barriers is critical for enterprise software adoption.
The native OCI rollout changes this operational dynamic. Running Snowflake on the same physical infrastructure as Oracle enterprise databases removes the need to move data across cloud borders.

Architecture and Key Technical Capabilities
Snowflake on OCI integrates with Oracle cloud services across four core operational areas.
1. Direct Access to Oracle Enterprise Data
Snowflake on OCI links directly to major Oracle data repositories. Supported sources include:
- Oracle Fusion Cloud Applications: Direct access to enterprise resource planning, human resources, and supply chain data.
- Oracle NetSuite: Native integration with operational business metrics and financial ledgers for mid-market and enterprise firms.
- Oracle Autonomous AI Database: Automated transaction processing and mixed analytical workloads without manual database tuning.
- MySQL HeatWave: Fast in-memory analytics for web applications and cloud software.
- Oracle NoSQL Database: Low-latency key-value data storage for distributed services.
Engineers can run analytics queries and AI model training jobs on live operational records without writing custom data extraction scripts.
2. Fast Data Transfer Without Custom Pipelines
Traditional multi-cloud setups rely heavily on custom extract, transform, and load (ETL) pipelines. These pipelines consume dedicated server capacity, introduce points of failure, and require constant engineering maintenance.
Snowflake on OCI moves data directly across the OCI high-bandwidth network fabric. Data travels quickly between storage buckets and compute clusters. This native throughput speeds up machine learning training, scheduled reporting, and ad hoc business queries.
3. Data Security and Tenancy Controls
Data governance is vital for enterprise regulatory compliance. Snowflake on OCI enforces existing security rules across both platforms.
Administrators keep granular control over user roles, data masking, and access rights. Because data remains within the OCI environment, security teams can enforce rules without managing differing multi-cloud network settings or perimeter proxies.
4. Elimination of Cross-Cloud Egress Fees
Moving data between different cloud platforms creates heavy network egress costs. For companies moving terabytes of records daily, egress fees represent a major cloud expense.
Because Snowflake runs natively on OCI, network traffic remains inside Oracle regional data centers. This internal routing cuts egress charges, reduces query wait times, and provides predictable cloud bills.
Factsheet: Snowflake on OCI vs Traditional Multi-Cloud Setup
| Capability | Snowflake on OCI (Native) | Traditional Multi-Cloud Setup |
|---|---|---|
| Network Egress Fees | Zero cross-cloud egress fees within OCI regions. | Standard multi-cloud network egress rates apply per GB. |
| Procurement & Billing | Single invoice via Oracle Universal Credits. | Separate contracts, invoices, and cloud commitments. |
| Connector Architecture | Direct links to Fusion, NetSuite, and Autonomous Database. | Custom ETL scripts or third-party replication middleware. |
| Provisioning Flow | Fast deployment through the OCI web console. | Complex VPC peering, IP allowlists, and API gateways. |
| Data Governance | Coordinated IAM and centralized tenancy controls. | Disparate access rules across independent cloud boundaries. |
| Deployment Latency | Low internal data fabric latency. | Variable public web and cloud-interconnect latency. |
Commercial Terms and Procurement Setup
The partnership also simplifies software procurement. Customers purchase and consume Snowflake through Oracle sales teams.
Oracle handles pricing, discounts, and monthly invoices. In addition, companies can apply existing Oracle Universal Credits toward Snowflake usage. This feature helps IT leaders utilize pre-committed cloud budgets without negotiating separate vendor contracts.
Executive Commentary
Company leaders described the partnership as a practical way to speed up corporate AI projects.
Clay Magouyrk serves as Chief Executive Officer of Oracle Cloud Infrastructure. He explained the customer demand.
“Organizations are looking for faster, simpler ways to turn their enterprise data into business value with AI. By making Snowflake available as a native OCI service, we are giving customers more choice in the AI and data capabilities they can use. We also simplify how they deploy, manage, and pay for those services. This helps customers accelerate their AI initiatives. It also turns technical innovation into measurable business outcomes.”
Clay Magouyrk, CEO, Oracle Cloud Infrastructure
Sridhar Ramaswamy serves as Chief Executive Officer of Snowflake. He highlighted the unified data foundation.
“AI has shortened the distance between enterprise data and real business value. Snowflake is excited to be the flagship AI data platform partner running as a first-party offering inside Oracle Cloud Infrastructure. This integration gives joint customers the power to turn Oracle data estates into an AI-ready foundation. It provides the governance and security needed to scale with confidence.”
Sridhar Ramaswamy, CEO, Snowflake
Frequently Asked Questions
What does Snowflake running natively on OCI mean for customers?
It means Snowflake operates directly inside Oracle Cloud Infrastructure data centers. Teams can deploy Snowflake from the OCI console, connect directly to Oracle databases, and avoid cross-cloud network hops.
Can companies use Oracle Universal Credits for Snowflake?
Yes. Organizations can draw down their existing Oracle Universal Credits to pay for Snowflake. Oracle manages billing, invoicing, and contract terms directly.
Which Oracle data systems connect natively to Snowflake on OCI?
The service connects to Oracle Fusion Cloud Applications and Oracle NetSuite. It also links directly to Autonomous AI Database, MySQL HeatWave, and Oracle NoSQL database.
How does native OCI hosting reduce enterprise cloud costs?
Native hosting keeps all data movement within the OCI network. This internal data path removes external egress fees and eliminates the engineering time needed to maintain custom ETL pipelines.
For broader analysis on how frontier tech firms disclose operational and governance challenges, read our report on Anthropic’s 93-page S-1 risk factor disclosures warning Wall Street of rogue AI and biosecurity threats.






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