Core Insights - Snowflake (SNOW) and Oracle (ORCL) are at the forefront of modernizing enterprise data infrastructure to accommodate large-scale AI workloads [1][2] - The global cloud data platform market is projected to grow from $22.78 billion in 2025 to $104.50 billion by 2033, with a CAGR of 24.3% [2] Snowflake Overview - Snowflake is designed as a core platform for AI-driven data workloads, supporting deployment across major public clouds and integrating structured and unstructured data [3] - In Q1 of fiscal 2026, Snowflake reported $996.8 million in product revenue, a 26% year-over-year increase, with expectations for Q2 product revenue at $1.04 billion [5][6] - Over 5,200 customer accounts utilized Snowflake's AI and ML features weekly in Q1, indicating strong adoption [4] Oracle Overview - Oracle is developing a vertically integrated platform for AI workloads, combining cloud infrastructure with autonomous databases and industry-specific applications [7] - In Q4 of fiscal 2025, Oracle's total cloud revenue increased by 27% year-over-year to $6.7 billion, with cloud infrastructure revenues growing by 62% [11] - The Zacks Consensus Estimate for Oracle's Q1 fiscal 2026 cloud services and license revenue is $12.21 billion [12] Comparative Analysis - Snowflake trades at a higher valuation of 13.64X forward Price/Sales compared to Oracle's 10.43X, reflecting its premium positioning in the market [16] - The Zacks Consensus Estimate for Snowflake's fiscal 2026 earnings is $1.06 per share, indicating a 27.71% year-over-year increase, while Oracle's estimate is $6.73 per share, reflecting an 11.61% increase [18] - Snowflake's focused, cloud-native platform is seen as more advantageous for AI-driven analytics compared to Oracle's broader, legacy-dependent approach [19]
Snowflake vs. Oracle: Which Cloud Data Stock Is Built for the AI Future?