Snowflake, founded in 2012 and now a public company, builds the AI Data Cloud - a platform that allows organisations to store, analyse, and share data across teams and systems without the friction of fragmented infrastructure. The platform runs on top of AWS, Azure, and Google Cloud, meaning customers can work within their existing cloud environments rather than migrating to a proprietary stack.
The platform is designed to serve three primary audiences: data engineers, data scientists, and business analysts. It handles the full range of data work, from engineering pipelines and running analytics to building and deploying machine learning applications. A central focus is secure data sharing - enabling different teams, and even different organisations, to collaborate on data without copying or moving it.
Snowflake serves thousands of customers across industries, from enterprises running large-scale analytics operations to machine learning teams building data-intensive products. Much of the team comes from a data background, and the company maintains a stated focus on making the day-to-day work of data practitioners less operationally burdensome - reducing infrastructure management overhead so teams can focus on what they do with the data rather than how it is stored and moved.