
The AI Data Cloud for your enterprise data needs
Snowflake is a cloud-based data platform that provides data warehousing, data lake, data engineering, data sharing, and AI/ML capabilities in a single solution. It runs on AWS, Azure, and Google Cloud with a unique architecture that separates compute from storage for near-unlimited scalability and concurrency.
Fully managed elastic data warehouse with automatic scaling, zero management, and near-unlimited concurrency across AWS, Azure, and GCP.
Developer framework for building data pipelines, ML models, and applications using Python, Java, or Scala directly within Snowflake.
Securely share live data across organizations without copying, and access third-party datasets via the Snowflake Marketplace.
Built-in AI and ML services including LLM functions, vector search, and document AI for building intelligent applications on your data.
Declarative data transformation pipelines that automatically keep results up to date as source data changes.
Unique architecture separating storage, compute, and cloud services layers for independent scaling and true multi-workload concurrency.
Interactive development environment for data exploration, analysis, and ML workflows with Python and SQL support.
Consolidate data from multiple sources into a single scalable warehouse for reporting, dashboards, and business intelligence.
Store and query structured and semi-structured data (JSON, Avro, Parquet) in a unified platform without ETL complexity.
Share live, governed data sets with partners, customers, or other business units without copying or moving data.
Build and manage feature stores, train ML models with Snowpark, and deploy AI applications using Cortex AI services.
Enterprise-grade security with end-to-end encryption, role-based access control, dynamic data masking, and row-level security.

Customer-facing analytics for any platform