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The Essential Guide to Cloud AI and Data Platforms
Learn how flexible storage for diverse data types, elastic computing power, built-in AI services, governance, and administration are needed to unlock your data’s full potential.
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Product Category
Serverless since its founding, the Snowflake platform is a fully managed service that is truly easy to use, connected across your entire data estate and trusted by thousands of customers worldwide.
Overview
Compliance, security, discovery & governance
FinOps
Observability
Compute Evolution
Secure and govern
Manage cost and performance
Monitor, troubleshoot and debug
Innovate with warehouses
Experience 2.1x¶ faster performance for core analytics workloads with Standard Warehouse - Generation 2, Snowflake’s updated Standard Warehouse with upgraded hardware and additional performance enhancements.
Benefits
Save valuable time and money with a fully managed service that scales with your needs, automates platform management, and brings AI to your data. Constantly save on costs through automatic performance improvements and built-in cost management
Make the most of all your data, apps and models through Snowflake’s rich ecosystem, enabled by zero-ETL sharing and interoperability with open table formats like Apache Iceberg.
Join Snowflake customers, representing 38% of the Global 2000#, to power your most demanding workloads on Snowflake. Get unified security, governance and business continuity, plus disaster recovery across regions and clouds — all out of the box.
AT&T
KFC
NYC H&H
"The Snowflake Data Cloud has given us the power to harness and integrate data to create insights. With data at our fingertips, we are growing revenue, becoming more cost effective and, most importantly, improving the customer experience.”
Andy Markus
Chief Data Officer, AT&T
"KFC’s data sharing processes changed from taking days to being completed in just seconds. This allows access to more data faster and allows us to achieve greater insights and enhance our advanced analytics capabilities.”
Luis Bastos
Data Architect, KFC
“We’re talking about working with sensitive patient data — data that’s related to people’s mental health and specific clinical conditions so we have to build in security, governance, auditability, traceability and compliance from the very beginning, which Snowflake helps us achieve.”
Shahran Haider
Deputy Chief Data Officer at NYC Health + Hospital
Resources
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Snowflake Platform
Get common questions answered about the Snowflake platform and its capabilities.
Yes, the Snowflake platform is a fully managed service with many serverless capabilities. While you configure virtual warehouses, Snowflake handles the underlying infrastructure, scaling and maintenance.
Yes, Snowflake supports multi-cloud and cross-region operations. It’s available on major cloud providers (AWS, Azure, GCP) across numerous global regions. Snowflake’s Snowgrid enables cross-cloud and cross-region data sharing, replication for business continuity, and a consistent experience independent of the underlying cloud.
Yes, Snowflake has built-in security and governance features. This includes end-to-end encryption, role-based access control (RBAC), network policies, multi-factor authentication and data masking. Snowflake Horizon Catalog provides a unified governance solution with features like data discovery, compliance tools, access history and object tagging.
The two primary cost drivers are compute and storage. For compute resources, Snowflake employs a consumption-based model. Storage costs are based on the amount of data (measured in terabytes per month) stored within Snowflake. To get a detailed breakdown of our pricing and see our consumption table, we encourage you to visit the Snowflake Pricing Page for the most up-to-date and comprehensive information.
Yes, Snowflake offers a unified Cost Management Interface that allows you to see, control and optimize your Snowflake spend, serving as a built-in tool for FinOps. This interface also helps you easily check insights to proactively save on costs.
Snowflake offers several observability capabilities to monitor your account and workloads, including:
Foundation observability capabilities: Metrics, traces, logs, notifications and alerts
Infrastructure observability: Optimize Snowflake costs and performance through better resource utilization insights.
Pipeline observability: Help ensure reliable data delivery by proactively identifying and fixing pipeline failures.
Application observability: Quickly pinpoint and resolve bottlenecks in applications interacting with Snowflake.
AI observability: Accelerate AI development by confidently evaluating and improving AI agents and apps.
These features help in monitoring performance, troubleshooting and managing costs.
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¶ Snowflake performance improvements based on core analytics workloads on 2XL warehouse measured as of May 3, 2024 using Standard Warehouse and May 2, 2025 using Gen2.