Renewable energy, particularly solar power, plays a crucial role in addressing climate change, and the integration of real-time data analytics is transforming its operations. Solar power generation faces unique challenges, such as the remote locations of utility-scale installations that often lack reliable network communications, leading to delays in data transmission. The widespread adoption of solar systems and incentives like net metering increase data demands and user traffic, necessitating robust data handling solutions. Apache Druid offers significant advantages for solar power data management, including scalability, durability, immediate accessibility, concurrency, consistency, and support for time-series data. A leading photovoltaic inverter manufacturer switched from Microsoft SQL Server to Apache Druid due to scalability issues, enabling real-time data handling from hundreds of thousands of inverters and improving customer experiences with rapid data retrieval and automated management tasks. The company now handles immense data volumes efficiently, resolving issues with late-arriving data and considering using Druid for advanced metrics, aiming to provide customers with deeper insights and enhanced analytics capabilities.