Snowflake is the leading multi-cloud data platform with $3.2B in product revenue growing 26%. The consumption model aligns costs with value but creates revenue volatility. The Databricks rivalry is the central competitive dynamic. NDR compression (127%, down from 142%) is the key concern.
Will consumption growth sustain 25%+ or decelerate as enterprises optimize?
The consumption model is Snowflake's defining characteristic. It creates revenue volatility but ensures value alignment. AI workloads are the new growth driver, processing 5x more credits in H2 vs H1 FY2025.
The Snowflake-Databricks rivalry defines the enterprise data platform market. They are converging from different starting points: Snowflake from SQL analytics, Databricks from ML engineering. Many enterprises use both. The question: will one platform win, or will the market remain bifurcated?
Multi-cloud architecture is Snowflake's most defensible structural advantage. Cloud-native alternatives (Redshift, Synapse, BigQuery) are cheaper but locked to one cloud. For enterprises with multi-cloud strategies, Snowflake's portability and cross-cloud data sharing create genuine differentiation.