Snowflake built the cloud data platform - a single place to store, share, and analyze data regardless of where it lives. 9,000+ customers including Pfizer, Capital One, and DoorDash use it. Its Data Marketplace lets companies monetize data by sharing it with partners. Every enterprise is becoming a data company; Snowflake is the infrastructure for that transition.
Key relationships in depth
Microsoft and Snowflake have an interoperability partnership connecting Snowflake's data cloud with Microsoft Fabric and OneLake, Microsoft's unified data lake. Customers can access Snowflake data from within Microsoft Fabric without moving or duplicating data, using Apache Iceberg open table format as a shared standard. Snowflake is also available on the Azure Marketplace.
Why it matters: Enterprise data is fragmented across Snowflake, Azure data services, and on-premises systems. The Snowflake-Microsoft partnership reduces data movement costs and latency by enabling in-place querying across platforms. For enterprises standardized on Microsoft 365 and Azure, native Snowflake integration reduces the friction of a separate data warehouse vendor.
Snowflake and NVIDIA have a partnership enabling GPU-accelerated AI and machine learning workloads to run natively within Snowflake's data platform. Snowflake Cortex AI, powered by NVIDIA GPU infrastructure, allows enterprises to run large language models and AI inference directly on their Snowflake data without moving data to external systems. NVIDIA's NIM microservices are integrated with Snowflake Cortex to deliver enterprise AI inference at low latency, and Snowflake and NVIDIA jointly sell AI-powered analytics solutions to data-intensive enterprises.
Why it matters: Snowflake's core competitive advantage is eliminating data movement overhead from analytics, and integrating NVIDIA GPU-accelerated AI inference directly into the Snowflake platform extends this philosophy to machine learning workloads. Enterprises that have invested in Snowflake as their data platform want to run AI where their data already lives rather than exporting data to external AI services, making Snowflake Cortex with NVIDIA inference a compelling alternative to point solutions.
Snowflake and Google Cloud maintain a data cloud partnership that provides Snowflake's data warehousing platform on Google Cloud Platform, with deep integrations between Snowflake and Google's BigQuery Omni, Vertex AI, and Looker business intelligence tools. In 2024-2025, Snowflake extended its AI partnership with Google to integrate Snowflake Cortex AI with Gemini models via Vertex AI, enabling enterprises to run LLM-powered queries directly against Snowflake data.
Why it matters: Google Cloud customers running analytics on GCP often need Snowflake's multi-cloud data sharing and governance capabilities that BigQuery alone does not fully replicate, and Snowflake's cross-cloud data sharing is particularly attractive to enterprises with data on both GCP and other clouds. Google benefits by offering Snowflake in its marketplace and preventing data analytics workloads from migrating entirely to AWS or Azure.
Snowflake runs primarily on Amazon Web Services and is one of the most visible examples of a competitor to AWS's own Redshift data warehouse that nonetheless runs on AWS. Snowflake is AWS's biggest data warehouse competitor but simultaneously one of its largest SaaS customers. In 2025, Snowflake sold $2B+ through the AWS Marketplace, doubling year-over-year, and was named AWS Global Data and Analytics Technology Partner of the Year.
Why it matters: Snowflake's customers have committed $2B+ of their AWS spend to Snowflake via the Marketplace, which counts against their AWS consumption commitments. This creates a virtuous cycle: enterprises buying AWS committed spend can use it for Snowflake, making Snowflake easier to purchase. AWS earns marketplace fees and retains cloud spending that might otherwise go to another platform.
Relationships are compiled by VexMap from company filings, announcements and reporting, and last reviewed September 2026. Spotted something wrong? Tell us. Not investment advice.