With the advent of IoT, vast amounts of data are generated by sensors and devices in real-time, posing significant challenges in terms of processing and analyzing the data due to its complexity and scale. This paper investigates the integration of Node-RED and IoT analytics for real-time data processing and visualization in the context of the Internet of Things (IoT). Node-RED is an open-source visual programming tool that simplifies the development of IoT applications by providing an intuitive interface for designing data flows between devices and services. On the other hand, IoT analytics offers a range of techniques and tools for processing and analyzing IoT data in real-time. A comprehensive overview of Node-RED and IoT analytics and their potential synergy for developing real-time IoT applications is discussed. Furthermore, it presents a case study of an industrial IoT system that leverages Node-RED and IoT analytics to process and visualize real-time data from multiple sensors, demonstrating the effectiveness of the integrated approach in reducing development time and complexity while providing a flexible and scalable solution. The study underscores the significance of integrating Node-RED and IoT analytics for developing real-time IoT applications. It offers a user-friendly interface for designing data flows and enables real-time processing and visualization of IoT data, promising a powerful approach to overcome the challenges of real-time data processing and visualization in the IoT domain, that supports productive business decisions. In the end, it presents potential future research directions to enhance their performance and reliability.