Efficient wastewater management remains a pivotal challenge for achieving sustainable development. This paper presents a comparative analysis of novel Internet-of-Things (IoT)-enabled reverse osmosis (RO) systems against existing approaches. We delve into the existing literature on wastewater management, particularly focusing on IoT-based solutions. Key parameters are meticulously compared, including efficiency, scalability, reliability, cost-effectiveness, and environmental impact. The proposed IoT-RO system offers real-time monitoring of crucial parameters (pH, TDS, turbidity, temperature), enabling autonomous routing of wastewater for treatment or community use based on quality assessments. Furthermore, a cloud platform facilitates water distribution to neighboring communities upon request, fostering inter-community collaboration. This comprehensive analysis unveils the strengths and weaknesses of different approaches, providing valuable insights for policymakers and practitioners to navigate the transition towards more sustainable wastewater management solutions. The system automates tasks, minimizing human intervention and associated labor costs. Real-time data collection enables proactive maintenance, optimizing resource allocation, and preventing equipment failures. The system presents a promising pathway towards achieving environmental conservation and community engagement, contributing to a more sustainable future, and empowers communities to transition toward sustainable wastewater management practices by offering a cost-effective and data-driven approach.