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EnterprisePlatform ProviderSNOWVERIFIED

Snowflake

5,000-10,000 employees

Snowflake Inc. is a cloud-based data platform company best known for its Data Cloud, which enables organizations to store, integrate, and analyze data at scale across multiple public clouds. Its architecture separates storage and compute, allowing elastic, pay-as-you-go analytics workloads. Snowflake increasingly positions itself as a foundation for data applications, AI, and secure data sharing across enterprises.

AI Strategy

Snowflake’s AI strategy is to make its Data Cloud the primary platform where enterprises prepare, govern, and operationalize data for AI and ML, while embedding native AI services (e.g., Snowflake Cortex, Snowflake ML) directly into the platform. It focuses on enabling governed, secure access to high-quality enterprise data for AI, supporting both in-database ML and integrations with external LLMs and AI tools, and partnering with major cloud and AI providers to broaden its ecosystem.

Key AI Products

Snowflake Cortex (built-in AI and ML services)Snowpark (developer framework for data apps and ML in Snowflake)Snowflake ML (native machine learning tooling, including feature store and model management)Native support and integrations for external LLMs and AI services

Financials

Revenue
$2B-$5B
Employees
5,000-10,000

Funding

Total Raised
$3B-$5B
Last Round
IPO
2020-09
Valuation
$60B-$80B at IPO (approximate)
Key Investors
Altimeter Capital, Salesforce Ventures, Sequoia Capital

Business Focus

Cloud data platformData warehousingData lakehouse and data engineeringData sharing and collaborationAnalytics and business intelligence enablementAI/ML workloads enablement

Competitive Analysis

Strengths

  • Cloud-agnostic architecture running on AWS, Azure, and GCP
  • Separation of storage and compute enabling elastic, concurrent workloads
  • Strong ecosystem and marketplace for data sharing and third-party data
  • Reputation for ease of use and performance for analytics workloads
  • Growing native AI/ML capabilities tightly coupled with governed enterprise data

Challenges

  • High total cost of ownership for heavy workloads compared with some alternatives
  • Strong competition from hyperscaler-native services (BigQuery, Redshift, Synapse) and Databricks
  • Less focus on open-source compared with some competitors
  • Dependence on underlying public clouds for infrastructure and pricing dynamics

Strategic Partnerships

Amazon Web Services (AWS)Technology

Snowflake runs natively on AWS and collaborates on joint go-to-market, integrations, and optimized data workloads.

Microsoft AzureTechnology

Snowflake operates as a native SaaS offering on Azure, integrating with Azure data and AI services.

Google Cloud Platform (GCP)Technology

Snowflake is available on Google Cloud with integrations into Google’s analytics and AI ecosystem.

NVIDIATechnology

Snowflake and NVIDIA partner to help enterprises build and deploy generative AI and custom LLMs using data in the Snowflake Data Cloud and NVIDIA’s AI platform.

SalesforceTechnology

Snowflake integrates with Salesforce to enable secure data sharing and analytics across CRM and enterprise data.

Competitors

Industries