As AI transforms how teams analyze product data, companies are rethinking the tools they rely on to drive growth. Two standout solutions Keewano and Databricks approach AI analytics from radically different angles. Keewano is purpose-built for product teams in mobile apps and games, offering autonomous insights, real-time causal analysis, and natural language Q&A through AI agents. Databricks, on the other hand, is a powerful enterprise lakehouse designed for data scientists and engineers to build flexible, end-to-end analytics and machine learning workflows. In this deep comparison, we compared  Keewano vs Databricks AI Analytics and break down how Keewano and Databricks differ across performance, cost, ease of use, architecture, and AI readiness—helping you choose the right platform for scaling product intelligence and data-driven decisions.