When building map-based features in Bubble, showing basic markers or shapes is usually straightforward. However, things can get tricky when you need to work with large geospatial datasets or create more data-driven visualizations.
Some common challenges I’ve noticed include:
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Performance issues when rendering thousands of points
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Difficulty showing density or intensity instead of individual markers
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Limited ways to compare values across locations
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Missing support for advanced or 3D map visualizations
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Not enough flexibility for labels and contextual text on maps
In analytics-heavy apps—such as dashboards, logistics platforms, mobility apps, or location-based SaaS products—markers alone often don’t communicate enough information.
To help solve this issue, I’ve been working on a Bubble plugin that integrates deck.gl layers, making it possible to add advanced map visualizations such as:
- Column layers to represent values as 3D bars
- Scatterplot layers for large datasets of points with styling control
- Heatmap layers to visualize density and intensity
- Text layers to show labels, annotations, or values directly on the map
The idea is to extend Bubble’s existing mapping capabilities and make it easier to build high-performance, scalable map visualizations without leaving the Bubble ecosystem.
I’d really like to hear from the community:
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What map limitations have you encountered in Bubble?
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Are you working with dense or large location-based datasets?
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Do features like heatmaps, 3D columns, or text labels on maps fit your use cases?
Looking forward to your feedback and discussion.
Checkout the plugin here