Utility management, particularly in the context of electric grid operations, relies heavily on accurate energy consumption predictions, making data analysis a critical component. Apache Druid, with its scalable and responsive architecture, offers significant advantages for handling the massive and complex data needs of utility management, aiding in balancing energy supply and demand and accommodating decentralized energy grids. Innowatts, an AI-enabled SaaS platform serving over 45 million customers, transitioned from a complex data infrastructure to Apache Druid, which simplified their architecture, improved forecasting accuracy, and reduced costs. This transition enabled more precise data handling, such as meter-level insights and real-time data exploration, and eliminated previous bottlenecks related to schema changes, ultimately enhancing their service offerings and customer value.