Snowflake

About Snowflake

Cloud-native data platform supporting data warehousing, data lakes, data engineering, data science, and data sharing. Architecture separates compute and storage for independent scaling. Features include zero-copy cloning, time travel, automatic scaling, and multi-cloud support. Pay only for resources used.

Key Features

• 1Separate compute and storage scaling — pay for query time independently
• 2Zero-copy cloning for instant development and test environment creation
• 3Snowpark Python API for pushing DataFrame operations into Snowflake compute
• 4Time Travel for querying historical data up to 90 days back
• 5Data Sharing and Marketplace for governed data exchange between accounts

How Python Data Engineers Use Snowflake

Python data engineers use `snowflake-connector-python` and `snowflake-sqlalchemy` to load data into Snowflake and run queries. The Snowpark Python library pushes pandas-like DataFrame operations directly into Snowflake's compute engine — enabling engineers to write Python transformation logic that runs as a stored procedure without moving data out of Snowflake.