Snowflake
The AI Data Cloud for your enterprise data needs
Founded
2012
Starting Price
Custom
Category
Analytics & BI
Last updated March 11, 2026
About Snowflake
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.
Pros & Cons
Pros
- Near-unlimited scalability with independent compute and storage scaling
- Zero administration — no infrastructure tuning, indexing, or maintenance required
- True multi-cloud support across AWS, Azure, and Google Cloud
- Seamless secure data sharing without data movement or copying
- Usage-based pricing means you only pay for what you consume
Key Features
Cloud Data Warehouse
Fully managed elastic data warehouse with automatic scaling, zero management, and near-unlimited concurrency across AWS, Azure, and GCP.
Snowpark
Developer framework for building data pipelines, ML models, and applications using Python, Java, or Scala directly within Snowflake.
Data Sharing & Marketplace
Securely share live data across organizations without copying, and access third-party datasets via the Snowflake Marketplace.
Cortex AI
Built-in AI and ML services including LLM functions, vector search, and document AI for building intelligent applications on your data.
Dynamic Tables & Streams
Declarative data transformation pipelines that automatically keep results up to date as source data changes.
Multi-Cluster Architecture
Unique architecture separating storage, compute, and cloud services layers for independent scaling and true multi-workload concurrency.
Snowflake Notebooks
Interactive development environment for data exploration, analysis, and ML workflows with Python and SQL support.
Pricing
Standard
Custom/credit
- Complete SQL data warehouse
- Automatic encryption
- Time travel up to 1 day
- Broad ecosystem of connectors
Enterprise
Custom
Best For
Enterprise Data Warehousing
Consolidate data from multiple sources into a single scalable warehouse for reporting, dashboards, and business intelligence.
Data Lake & Lakehouse
Store and query structured and semi-structured data (JSON, Avro, Parquet) in a unified platform without ETL complexity.
Data Sharing & Collaboration
Share live, governed data sets with partners, customers, or other business units without copying or moving data.
AI/ML Feature Engineering
Build and manage feature stores, train ML models with Snowpark, and deploy AI applications using Cortex AI services.
