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Snowflake Ecosystem
AWS
Snowflake on AWS delivers the fastest path to an AI-ready data cloud - eliminating silos, accelerating analytics, and powering AI workloads at the speed and scale your business demands.
Google Cloud
Unlock the full potential of your data on Google Cloud. Snowflake's AI Data Cloud integrates natively with Google's ecosystem - enabling real-time analytics, secure data sharing, and AI-powered insights at enterprise scale.
Microsoft Azure
Snowflake and Azure form a powerful foundation for enterprise data modernization. Unify your data estate, accelerate AI adoption, and deliver actionable insights - all within the secure, scalable infrastructure your organization already trusts
NVIDIA
Snowflake integrates NVIDIA's NeMo framework and GPUs via Snowpark Container Services and Cortex, enabling customers to train generative AI models on WWT's NVIDIA DGX infrastructure while securely housing enterprise data in Snowflake.
Glean
Snowflake and Glean eliminate the gap between data and decisions. Any employee can query Snowflake data in natural language through Glean - no SQL required - unlocking faster insights across every team.
Splunk
Cisco's Splunk delivers powerful security analytics while Snowflake handles the massive volume of security log data - providing cheaper long-term storage and faster query performance. Together, they form the modern Security Data Lake: the best of both platforms, unified.
Everpure
Everpure's FlashBlade pairs with Snowflake's Apache Iceberg tables and External Stages, enabling enterprises to query sensitive on-premise data directly without migration. WWT drives simultaneous hardware refreshes and Snowflake consumption growth through a unified Hybrid Data Cloud solution.
NetApp
Enterprises sitting on massive NetApp estates can now unlock cloud-scale analytics without lifting their data. Snowflake's Iceberg tables and External Stages query NetApp directly in-place, while WWT connects the hardware refresh to accelerated Snowflake adoption.
IBM
Snowflake and IBM bring enterprise-grade AI and data modernization together - enabling organizations to break down silos, migrate legacy workloads, and unlock trusted, governed insights across hybrid and multi-cloud environments.