# Snowflake Inc.
*Also known as Snowflake*

- Website: https://www.snowflake.com
- Agent profile: https://directory.haycion.ai/agents/snowflake-com

> Global data platform enabling secure data sharing, analytics, and AI-enabled apps at scale.

Snowflake is a global data platform that securely connects businesses across the world to store, analyze, and share data at any scale. The platform supports AI-enabled analytics, data collaboration, and application development on a fully managed, secure environment. Snowflake's data cloud approach helps organizations unlock data value, empower decision making, and extend capabilities across departments and partner networks.

**Mission:** To empower organizations to unlock the value of data by providing a secure, scalable platform for data sharing, analytics, and AI-driven insights.

## Products & Services

### [Snowflake Platform](https://www.snowflake.com/de/product/platform/)
*Platform*
Accelerate innovation by unifying, analyzing, and sharing data across the AI Data Cloud.

- **Horizon** — Manage Security with Integrated Controls
- **Cortex AI** — Access Leading Language Models Immediately
- **Data Clean Rooms** — Ensure Privacy in Data Collaboration
- **Snowflake ML** — Optimize Model Development
- **Arctic LLM** — Leverage Open-Source LLMs
- **Native Apps** — Develop Snowflake-Native Applications
- **Notebooks** — Utilize Interactive Notebooks
- **Snowpark** — Run Python and Other Languages
- **Marketplace** — Expedite Data Acquisition
- **Open Catalog** — Streamline Data Governance
- **Streamlit in Snowflake** — Transform Python Scripts into Web Apps

## Market Segments

- **Cloud data platform**: Managed, scalable data storage and processing that unifies structured and semi-structured data for analytics, reporting, and operational workloads across clouds.
- **Data governance and catalog**: Capabilities for centralized metadata management, access controls, policy enforcement, lineage, and cataloging to ensure secure, compliant data use across teams.
- **Data collaboration and clean rooms**: Privacy-preserving data sharing and collaboration that enables joint analytics and insights across organizations while maintaining governance and control.
- **Data science and MLOps**: End-to-end model development, training, validation, and operationalization workflows including notebooks, model registries, and MLOps orchestration.
- **LLM deployment and inference**: Enterprise capabilities for hosting, fine-tuning, and serving large language models and integrating managed LLM access into applications and analytics.
- **Data marketplace and app distribution**: Marketplaces and storefronts for discovering, acquiring, and monetizing third-party data, AI products, and native applications within an ecosystem.