CARTO has introduced heatmaps for big data visualization, allowing users to create powerful and intuitive visualizations of their spatial data. Heatmaps use color gradients to represent density and intensity of data points over geographical areas, making them ideal for conveying concentration patterns, identifying high and low density areas, and conducting qualitative analysis. However, they may not be optimal for all use cases, such as precise spatial analysis or noisy data, where more quantitative outputs are required. With CARTO's new heatmap capabilities, users can create large-scale heatmaps online by adding a point layer to their map and choosing the right color palette and density radius. This feature is part of a broader effort to make spatial data analysis easier and more effective, with resources such as tutorials, examples, and webinars available to help users get started.