Snowflake

Cloud data platform that unifies data warehousing, data lakes, data engineering, and data sharing in a fully managed service. Queries run on elastic compute that scales independently from storage, with support for structured and semi-structured data, plus cross-cloud deployment on AWS, Azure, and GCP.

Trusted by enterprises such as Toyota, BlackRock, Fanatics, Indeed, and VodafoneZiggo. Snowflake differentiates from traditional warehouses by separating compute and storage entirely: you scale each independently and pay only for what you use. The platform supports Apache Iceberg and other open table formats for interoperability, and offers built-in data sharing between organizations without copying data.

Key capabilities:

• Fully managed warehousing with near-zero maintenance and automatic scaling of compute and storage
• Data engineering in Python, SQL, or Scala via Snowpark for pipelines, ML, and data apps
• Native data sharing and marketplace for secure, live data exchange across clouds and organizations
• Support for Iceberg and open formats to avoid vendor lock-in and work with existing lake data
• Time travel, cloning, and fail-safe for point-in-time recovery and non-destructive testing
• Connectors and drivers for major languages, BI tools, and data integration platforms

Data teams use Snowflake to consolidate siloed data, run analytics at scale without managing clusters, and share live datasets with partners. Engineers build ETL pipelines and ML models directly in the platform with Snowpark, integrate via dbt and Airflow, and deploy applications with the Native App Framework.