Product

The SnowflakePlatform

Accelerate time to data and AI innovation on a fully managed, enterprise-ready platform that is easy to use, connected across your entire data and AI estate, and trusted by thousands. 

Snowflake platform diagram as of OCT 2025

use cases

The Unified Platform for Enterprise Data and AI

security & governance

FinOps

Observability

Compute Evolution & Extensibility

Transactional Workloads

Maintain trust

Snowflake Horizon Catalog: The Universal AI Catalog

  • Effectively protect your most sensitive data and AI assets with enterprise-grade security and governance. 

  • Manage secure, cross-engine access to data in open table formats and get read/write access for all Iceberg tables.

  • Provide context to AI agents for useful, trustworthy output.

  • Connect ecosystems across regions and clouds with unified manageability, business continuity and disaster recovery, and seamless collaboration.

Snowflake Horizon platform diagram

Manage cost and performance

Time is money — save both with Snowflake

  • See, control and optimize your Snowflake spend through a unified Cost Management Interface. 
  • Check query performance easily to proactively save on costs. 
  • Automatically benefit from regular rollouts of performance improvements across all workloads.
cost and performance diagram

Monitor, troubleshoot and debug

Get faster telemetry across your AI and data

  • Start with Snowflake’s built-in observability in a few simple steps, and seamlessly export telemetry data to your preferred third-party tools as needed.
  • Evaluate gen AI quality, compare model configurations and trace execution flows without exporting sensitive data.
  • Address bottlenecks quicker with deeper, more unified visibility across your applications, pipelines and infrastructure.
snowflake trail diagram

Innovate with warehouses and container services

Enjoy regular, automatic performance improvements and extend your platform

  • Experience 2.0x  faster performance for core analytics workloads with Standard Warehouse - Generation 2, Snowflake’s updated Standard Warehouse with upgraded hardware and additional performance enhancements.

  • Snowflake Adaptive Compute* offers enhanced ease of use with better price for performance through automatic selection of right-sized compute resources shared optimally across an account and intelligent query routing. Use this compute service to create new Adaptive Warehouses.*
  • Snowpark Container Services (SPCS) is a powerful extension that turns Snowflake into a platform for running containers, services and AI/ML apps securely and natively alongside your data.
core analytics workloads diagram

All your data in one place

Run transactional applications, analytics and AI on one unified platform

  • Stop managing separate databases. Instead, let Snowflake help unify your data footprint, so you can run transactional workloads alongside all your other workloads on a single platform. 

  • Choose from two powerful capabilities: Snowflake Postgres for enterprise-ready Postgres, or Unistore’s Hybrid Tables to manage application state and build lightweight transactional apps directly on Snowflake.

  • Eliminate data pipelines to help reduce complexity, lower costs and innovate faster.

Snowflake Unistore and Postgres icon pointing up towards the Snowflake logo

Benefits

An easy, connected and trusted platform

EASY

Accelerate time to innovation

Save time and money with a single fully managed platform for all workloads that is scalable, self-improving and has built-in FinOps for optimal cost efficiency

CONNECTED

Collaborate with cutting-edge tools

Accelerate strategic decision-making and unlock new business opportunities with an open architecture that provides direct access to the most complete ecosystem of AI-ready data, apps and agentic products.

TRUSTED

Reduce risk

Protect your assets and brand reputation by reducing compliance and security risks. Power your most mission-critical data, apps and AI workloads with enterprise-grade security, governance, observability and business continuity/disaster recovery controls across regions and clouds.

Get Started

Take the next stepwith Snowflake

Start your 30-day free Snowflake trial today

  • $400 in free usage to start
  • Immediate access to the AI Data Cloud
  • Enable your most critical data workloads

Snowflake Platform

Frequently Asked Questions

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.

Where Data Does More

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