Online interactive 3D visualizations can enhance understanding of the built environment, including non-physical aspects such as property value and price. With access to large-scale open datasets, a key challenge in building such interactive 3D mapping interfaces is the efficiency of visualization methods. Modern GPU-accelerated front-end mapping libraries present a solution to this problem. This research proposes a ‘front-end’ native approach to create a web-based visual analytics framework for large scale spatiotemporal data. The Australian Property Market Explorer exemplifies this framework by visualizing a large dataset of property sales in New South Wales, Australia. This tool allows users to explore and analyse property market patterns at various geographic scales. The proposed framework offers advantages over traditional methods such as scalability and reliability while promising use-cases such as aiding planners in infrastructure and transportation decisions and assisting property valuation professionals in analysing property price trends.