A robust real-time online solar photovoltaic monitoring system is carefully designed for the solar photovoltaic energy industry via cloud computing technology broadcasting instant and exact energy harvested from installed solar photovoltaic modules onsite. Remote monitoring for both the stationary positioned and hybrid solar photovoltaic tracking modules is achieved via the web on mobiles, tablets, PCs and notebooks through installed applications. The introduction of these robust adaptive devices have significantly increased the optimisation, performance and the high concentration of energy harvested in hybrid solar photovoltaic tracking system based on the developed tracking movement models. This paper investigates the design of a robust real-time online comparative data with visual analysis for both stationary and hybrid solar photovoltaic tracking monitoring systems spanning the installation lifetime. The hybrid solar photovoltaic monitoring system consists of two main components the programmable logic control (PLC) box and the data logger connected to the router for remote access and transfer of real-time solar photovoltaic data information generated. A photovoltaic data acquisition and monitoring system has been deployed at the National Kaohsiung University, Taiwan for optimal solar photovoltaic energy harvest, forecast and sustainable solar photovoltaic management and policies to validate simulation models. The research results presented are likely to offer real experience for the future solar photovoltaic energy industry applications not only in Taiwan but also in the world.