Snowflake
Cloud-native data warehouse and sharing
About
Founded in 2012, Snowflake delivers a fully managed cloud data platform built on a unique multi-cluster shared-data architecture that separates compute from storage. Beyond warehousing, the platform now supports Snowpark for data engineering in Python, Java, and Scala; Cortex AI for in-platform LLM inference; and the Data Cloud marketplace for third-party data sharing. Snowflake runs on AWS, Azure, and Google Cloud and serves over 10,000 enterprise customers including Capital One, JetBlue, and Nielsen. It competes with BigQuery and Databricks, positioning on ease of operation, cross-cloud data sharing, and a growing developer ecosystem for AI workloads.
Products
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Snowflake Platform
— Fully managed platform that securely connects businesses globally to build AI products, apps, and manage data at any scale.
Customer sectors: data engineers, data scientists, enterprise IT
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Snowflake Intelligence
— Enterprise AI agent providing trusted, unified knowledge to enable data-driven decision making across organizations.
Customer sectors: business analysts, enterprise IT, data teams
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Cortex Code
— Snowflake-native AI coding agent that helps developers build data and AI applications faster within Snowflake.
Customer sectors: AI developers, software engineers, data scientists
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Snowpark
— Libraries and execution environments that allow running Python and other code directly inside Snowflake for data processing.
Customer sectors: data engineers, data scientists, software developers
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Postgres
— Fully compatible open source Postgres database running natively on Snowflake with integrated cloud benefits.
Customer sectors: database administrators, application developers, enterprise IT
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Snowflake — available to members.
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