Snowflake vs EY
Side-by-side comparison of AI visibility scores, market position, and capabilities
Cortex AI platform for enterprise LLM deployment within the data cloud; $900M+ ARR from AI/ML workloads. AI Data Cloud serves 10,000+ enterprise customers. Cortex Analyst, Cortex Search enable natural-language querying of enterprise data.
About
Snowflake was founded in 2012 by data warehousing veterans from Oracle with the mission of building a data platform designed from scratch for the cloud — one that separated compute from storage to enable elastic scaling, multi-cloud portability, and a consumption-based pricing model that aligned cost with actual use. The company identified that legacy data warehouses required customers to over-provision hardware for peak demand, creating enormous waste, and that the emerging cloud infrastructure layer made a fundamentally different architectural approach possible. Snowflake's core technology, the Data Cloud, provides a single platform for data warehousing, data lakes, data engineering, data science, and data sharing across AWS, Azure, and Google Cloud.\n\nSnowflake's platform has expanded beyond structured analytics into an AI and machine learning infrastructure layer through Cortex AI — a suite of capabilities that allows enterprises to build, deploy, and serve LLM-powered applications directly on their Snowflake data without moving data to external AI platforms. Cortex AI includes LLM fine-tuning, vector search, and inference APIs that integrate with leading foundation models, enabling enterprises to build RAG applications and AI agents on top of their governed Snowflake data. Snowflake serves more than 10,000 enterprise customers globally, including the majority of the Fortune 500, across industries from financial services and healthcare to retail and media.\n\nSnowflake's AI and ML workloads generate over $900 million in annualized revenue, one of the fastest-growing segments of its business. The company trades on NYSE as SNOW and competes with Databricks, Google BigQuery, and Amazon Redshift. Its enterprise penetration, multi-cloud neutrality, and the Cortex AI platform position Snowflake as a foundational layer for enterprise AI deployment where data governance and security are non-negotiable.
Big Four professional services partnership at $51.2B FY2024 revenue (+3.9%); CEO Janet Truncale launched EY.ai Agentic Platform with NVIDIA (150 agents, 80K professionals) competing with Deloitte and PwC for global audit and consulting.
About
EY (Ernst & Young) is a London-based global professional services partnership — one of the Big Four accounting and consulting firms — generating $51.2 billion in record annual revenue in fiscal year 2024 (+3.9%), with approximately 393,000 professionals operating across more than 700 offices in over 150 countries and territories. EY's roots trace to 1903 when Alwin C. Ernst and Theodore Ernst founded Ernst & Ernst in Cleveland, Ohio; the modern EY emerged from the historic 1989 merger of Ernst & Whinney and Arthur Young & Co. EY's integrated service model spans assurance (the highest-revenue segment among Big Four peers), consulting, strategy and transactions through EY-Parthenon (created via the 2014 acquisition of The Parthenon Group), and tax services. In July 2024, Janet Truncale became EY's Global Chair and CEO, the first woman to lead the firm. In 2025, EY launched the EY.ai Agentic Platform in partnership with NVIDIA, deploying 150 AI agents supporting 80,000 EY professionals across tax, risk, and finance domains to surpass 3 million tax compliance outcomes annually.
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