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Snowflake Computing is a company providing a cloud-based data warehouse as a service. It is headquartered in San Mateo, California and was founded in 2012 by Benoit Dageville, Marcin Zukowski, and Thierry Cruanes. The Snowflake Computing platform offers users a data warehouse, augmented data lakes, analytics, integrated data engineering, secure data exchange, agile data application development, and advanced data science. The company's platform is developed to allow users to buy and ingest data almost instantaneously rather than with traditional longer methods, while its data solutions can be hosted on various public clouds.
Snowflake Computing completed its IPO in 2020 and is listed on the NYSE under SNOW. The company caters its services to industries including financial services, advertising, media, entertainment, retail, healthcare, and marketing analytics. Notable customers of Snowflake Computing have included the following: Looker, Capital One, Overstock, Lionsgate, 2K Games, Kiva, HubSpot, Akamai, Deliveroo, EA, Instacart, Kraft Heinz, AT&T, JetBlue, Penguin Random House, and Doordash.
Snowflake platform is developed to power the company's data cloud and is designed to connect businesses across any type and at various levels of scale to their data and data workloads, including data collaboration within organizations and between organizations. The platform is designed to offer optimal performance for any workload, supporting almost unlimited numbers of concurrent users and workloads ranging from interactive to batch with reliable performance. It is also developed to be fully automated to support effortless data management, security, governance, availability, and data resiliency.
Part of the Snowflake Computing platform is the company's Snowgrid, which works to discover and share governed data between teams, business units, partners, and customers, without ETL. The engine offers cross-cloud governance controls and flexible policies to ensure data security while allowing users to generate more value from sensitive or regulated data.
Snowflake Computing's platform includes what the company calls an elastic performance engine. This engine is developed to power complex data pipelines, large-scale analytics, feature engineering, and interactive applications. The engine works to handle concurrent users and workloads while maintaining the platform's performance.
The Snowpark platform is developed to help users develop integrations and capabilities of the Snowflake Computing platform. Users can code in Python, Java, or Scala and develop custom functions, such as building pipelines, machine learning workflows, or other data applications that can work inside Snowflake's data cloud.
Through the Snowflake Marketplace, users can find integrations for data, data services, and other applications. This allows users to include integrations to make the Snowflake Computing platform more useful for their given industry sector. These integrations are built to work with the Snowflake platform, intended to be easy to integrate and easy to use to allow users to quickly develop processes with immediate access to existing and incoming data that is updated in real time with automatic updates.
The Powered by Snowflake program allows users a chance to access technical experts, workshops, and a library or resources to help them build, market, and operate applications in Snowflake's Data Cloud. Applications built with Powered By Snowflake can be listed on the Snowflake Marketplace, where they can reach users of the Snowflake Computing platform with the Powered by Snowflake program, ensuring the applications can integrate well with the platform.
The Snowflake Computing system is developed for various data-based workloads, including collaborative workloads, data science and machine learning workloads, cybersecurity workloads, and data storage and analytics workloads.
