Snowflake Expands Partnership With Google Cloud to Bring Gemini AI Models Directly Into Enterprise Data

Snowflake has expanded its collaboration with Google Cloud, deepening technical and go-to-market integration to bring Google’s latest generative AI capabilities directly into the Snowflake AI Data Cloud. The move allows enterprises to build and deploy AI-driven applications using Google’s Gemini large language models without moving sensitive data outside Snowflake’s governed environment.

Under the expanded partnership, Google Cloud’s Gemini 3 models will be available natively within Snowflake Cortex AI, enabling customers to develop generative AI applications and intelligent data agents directly on enterprise data stored in Snowflake. By keeping data in place, the companies said the integration helps maintain security, compliance, and performance while reducing the complexity typically associated with cross-platform AI development.

Snowflake said the collaboration is designed to help enterprises accelerate AI adoption by tightly coupling advanced models with trusted, governed data. The integration is expected to benefit organizations looking to move beyond experimentation and into production-scale AI deployments across analytics, operations, and decision-making workflows.

Beyond technology integration, Snowflake and Google Cloud are strengthening their commercial alignment. The companies plan to pursue joint customer engagements, expand co-selling initiatives, and allow customers to transact Snowflake services through the Google Cloud Marketplace. The partnership also includes geographic expansion, with Snowflake recently launching on Google Cloud in Saudi Arabia and plans to make the service available on Google Cloud in Melbourne, Australia, in early 2026.

The collaboration also extends to infrastructure. Snowflake said its Gen2 Warehouses are now generally available on Google Cloud’s Axion-based C4A virtual machines, delivering improved price-performance for customers running large-scale analytics and AI workloads.

Google Cloud executives said embedding Gemini directly into Snowflake gives enterprises access to advanced generative AI models operating on governed enterprise data, opening the door to new automation and insight-driven use cases across industries.

Enterprises in sectors such as financial services, healthcare, manufacturing, retail, and technology are already using joint Snowflake and Google Cloud solutions to modernize their data platforms and accelerate AI initiatives. Companies including BlackLine and Fivetran are leveraging Snowflake on Google Cloud to enable real-time analytics, AI-driven workflows, and stronger data governance.

BlackLine said the integration supports its efforts to develop agentic AI capabilities for finance and accounting teams, while Fivetran noted that tightly connected and governed data is critical for enabling AI systems to reason effectively at enterprise scale.

As enterprises look to operationalize generative AI, the expanded Snowflake–Google Cloud partnership reflects a broader industry shift toward embedding AI models directly into data platforms, reducing friction between data, infrastructure, and intelligence.