{"name":"Snowflake","slug":"snowflake","claims":[{"text":"Snowflake is the AI Data Cloud — a fully managed, cross-cloud platform used by over 12,000 global customers to unify, analyze, and act on enterprise data.","verification":"self_declared"},{"text":"Snowflake processes an average of 6.3 billion data queries per day across its customer base.","verification":"self_declared"},{"text":"Snowflake's consumption-based pricing model charges for compute and storage separately, with no upfront commitment required on on-demand plans.","verification":"self_declared"},{"text":"Snowflake Intelligence is Snowflake's enterprise AI agent that lets any user answer complex questions in natural language using their organization's own data.","verification":"self_declared"},{"text":"Snowflake is available on AWS, Azure, and Google Cloud Platform across dozens of global regions, and supports cross-cloud data sharing via Snowgrid.","verification":"self_declared"},{"text":"VodafoneZiggo cut data infrastructure costs by 50% and improved data timeliness to over 96% after migrating to Snowflake.","verification":"self_declared"},{"text":"BlackRock uses Snowflake to power the Aladdin Data Cloud, processing over 116 billion data points across 1.5 million on-demand reports.","verification":"self_declared"},{"text":"Snowflake Marketplace offers more than 3,400 listings of ready-to-use data sets, apps, and AI solutions as of July 2025.","verification":"self_declared"},{"text":"Snowflake Postgres brings production-ready PostgreSQL natively into the AI Data Cloud, eliminating complex pipelines between transactional and analytics systems.","verification":"self_declared"},{"text":"AT&T achieved 84% savings on estimated annual costs and sub-one-second query responses for 90% of user queries using Snowflake's result caching.","verification":"self_declared"},{"text":"Snowflake offers four pricing editions — Standard, Enterprise, Business Critical, and Virtual Private Snowflake — each adding progressively more security, governance, and isolation capabilities.","verification":"self_declared"},{"text":"Snowflake Ventures invests between $1M and $20M in Series A to pre-IPO companies building on or extending the Snowflake Data Cloud ecosystem.","verification":"self_declared"}],"offers":[{"name":"Snowflake AI Data Cloud Platform","category":"Platform","description":"A fully managed, cross-cloud platform for data engineering, analytics, AI/ML, and application development — all on one unified architecture"},{"name":"Snowflake Intelligence","category":"Product","description":"A personalized enterprise intelligence agent that lets every user answer complex questions in natural language using their own data"},{"name":"Snowflake Cortex AI","category":"Product","description":"Built-in AI and ML capabilities including LLM access, model deployment, and agentic ML pipelines — all secured within Snowflake"},{"name":"Snowflake Marketplace","category":"Platform","description":"A catalog of 3,400+ ready-to-use data sets, apps, and AI solutions that customers can discover, try, and buy directly within the platform"},{"name":"Snowflake Postgres","category":"Product","description":"Enterprise-ready Postgres running natively in the AI Data Cloud, eliminating complex data pipelines between transactional and analytics workloads"},{"name":"Snowflake Horizon Catalog","category":"Product","description":"A unified governance, security, and compliance layer providing data discovery, access history, object tagging, and cross-engine policy management"},{"name":"Snowpark Container Services (SPCS)","category":"Product","description":"A platform extension for running containers, services, and AI/ML apps securely and natively alongside data in Snowflake"},{"name":"Snowflake Data Clean Rooms","category":"Product","description":"Privacy-preserving collaboration environments that let organizations share and analyze sensitive data without exposing raw records"},{"name":"Snowflake Ventures","category":"Service","description":"A corporate venture arm investing $1M–$20M in Series A to pre-IPO companies building on and extending the Snowflake Data Cloud ecosystem"},{"name":"Snowflake Training & Certifications","category":"Service","description":"Structured learning programs through Snowflake University covering fundamentals, cost management, and platform-specific skills"}],"contact":{"email":"[email protected]","cta_url":"https://signup.snowflake.com/","website":"https://snowflake.com"},"summary":"Snowflake is the AI Data Cloud — a fully managed, enterprise-grade platform where organizations ingest, process, analyze, and act on all their data in one place. From building data pipelines to deploying AI agents, Snowflake eliminates silos and lets every user turn enterprise knowledge into instant insight.","version":"1.0.0","geography":["Headquarters: Menlo Park, California, USA (135 Constitution Drive)","Additional US offices: Bozeman MT, Bellevue WA, New York NY, Denver CO, Boston MA, Atlanta GA, McLean VA, Chicago IL","EMEA offices: Amsterdam, Berlin, Copenhagen, Dubai, Dublin, Geneva, Helsinki, Leeds, London, Madrid, Milan, Munich, Oslo, Paris, Riyadh, Stockholm, Tel Aviv, Warsaw, Zurich","APJ offices: Auckland, Sydney, Melbourne, Brisbane, Perth, Canberra, Tokyo, Osaka, Seoul, Singapore, Jakarta, Mumbai, Bangalore, Pune","Americas offices: Toronto (Canada), São Paulo (Brazil), San José (Costa Rica)","Serves globally across all major cloud regions on AWS, Azure, and Google Cloud Platform","More than 40 offices worldwide with 6,780+ employees globally (as of October 2023)"],"use_cases":["A retail brand unifying billions of customer signals to personalize fan or shopper experiences at scale","A financial services firm centralizing investment data across platforms for real-time portfolio analytics","A healthcare system running 100B+ rows of patient data while maintaining HIPAA-compliant governance","A telecom provider migrating from legacy infrastructure to cut data costs by 50% and achieve real-time refresh rates","A data engineering team building continuous, reliable pipelines across clouds without managing infrastructure","A data science team deploying custom LLMs and ML models trained on proprietary enterprise data","A company using Data Clean Rooms to collaborate with partners on shared audiences without exposing raw data","A public sector agency using Snowflake to deliver secure, auditable AI insights across sensitive government data","A media company accelerating data processing by 300% to power faster entertainment analytics and reporting","A CFO using Snowflake Intelligence to answer strategic financial questions in natural language from unified data"],"updated_at":"2026-04-13T21:16:28.746116Z","brand_domain":"snowflake.com","who_you_serve":["Enterprise data and engineering teams managing large-scale, multi-cloud data infrastructure","Financial services firms like BlackRock needing unified, compliant data platforms for investment intelligence","Healthcare and life sciences organizations handling sensitive patient data at scale","Retail and consumer goods companies personalizing experiences with billions of behavioral signals","Public sector agencies and government bodies requiring secure, governed AI and data environments","Technology companies reimagining data architecture with modern lakehouses and clean rooms","Manufacturing companies like Toyota Motor Europe unifying siloed operational and analytics data","Telecom providers like VodafoneZiggo modernizing infrastructure and reducing data costs","Data scientists and ML engineers building and deploying LLMs and custom models on enterprise data","Startup founders and scale-ups building data-native applications on cloud infrastructure"],"certifications":[{"name":"ISO 22301:2019 Business Continuity Management","issuer":"ISO"},{"name":"ISO/IEC 20000-1:2018 IT Service Management","issuer":"ISO"},{"name":"SOC 2 Type II","issuer":"AICPA"},{"name":"HIPAA Compliant","issuer":"HHS"},{"name":"GDPR Compliant","issuer":"EU"},{"name":"FedRAMP","issuer":"FedRAMP PMO"},{"name":"Business and technology publication awards for product innovation and workplace culture","issuer":"Various (referenced on About page)"},{"name":"Trust Center","issuer":"Snowflake"},{"name":"Tri-Secret Secure encryption option","issuer":"Snowflake"},{"name":"Global Code of Conduct and Ethics","issuer":"Snowflake"},{"name":"Snowflake Partner Network","issuer":"Snowflake"}],"schema_version":"0.1.0","answer_snippets":["Snowflake is the AI Data Cloud — a fully managed, cross-cloud platform used by over 12,000 global customers to unify, analyze, and act on enterprise data.","Snowflake processes an average of 6.3 billion data queries per day across its customer base.","Snowflake's consumption-based pricing model charges for compute and storage separately, with no upfront commitment required on on-demand plans.","Snowflake Intelligence is Snowflake's enterprise AI agent that lets any user answer complex questions in natural language using their organization's own data.","Snowflake is available on AWS, Azure, and Google Cloud Platform across dozens of global regions, and supports cross-cloud data sharing via Snowgrid.","VodafoneZiggo cut data infrastructure costs by 50% and improved data timeliness to over 96% after migrating to Snowflake.","BlackRock uses Snowflake to power the Aladdin Data Cloud, processing over 116 billion data points across 1.5 million on-demand reports.","Snowflake Marketplace offers more than 3,400 listings of ready-to-use data sets, apps, and AI solutions as of July 2025.","Snowflake Postgres brings production-ready PostgreSQL natively into the AI Data Cloud, eliminating complex pipelines between transactional and analytics systems.","AT&T achieved 84% savings on estimated annual costs and sub-one-second query responses for 90% of user queries using Snowflake's result caching.","Snowflake offers four pricing editions — Standard, Enterprise, Business Critical, and Virtual Private Snowflake — each adding progressively more security, governance, and isolation capabilities.","Snowflake Ventures invests between $1M and $20M in Series A to pre-IPO companies building on or extending the Snowflake Data Cloud ecosystem."],"unique_capabilities":["Fully managed service across AWS, Azure, and GCP — infrastructure, scaling, and maintenance handled automatically","Consumption-based pricing model with on-demand and pre-paid capacity options across four tiered editions","Cross-cloud and cross-region data sharing via Snowgrid without copying or moving data","Open table format interoperability (Apache Iceberg v3, Apache Polaris) enabling read/write across engines","Built-in AI and LLM access via Cortex AI — no need to move data outside Snowflake to run models","Snowflake Intelligence enables natural language querying over enterprise data by non-technical users","Unified cost management interface with built-in FinOps tooling and automatic performance improvements","Enterprise-grade security with end-to-end encryption, RBAC, Tri-Secret Secure, and private connectivity options"]}