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Trinity Magellan powers frontend maps to seamlessly display billions of features—without requiring changes to your existing setup.

Magellan delivers real-time, scalable map rendering that lets organizations instantly visualize billions of data points without pre-rendering or performance trade-offs.

Magellan delivers real-time, scalable map rendering that lets organizations instantly visualize billions of data points without pre-rendering or performance trade-offs.

Magellan delivers real-time, scalable map rendering that lets organizations instantly visualize billions of data points without pre-rendering or performance trade-offs.

Scientist wearing safety goggles and blue lab attire, using a pipette to transfer liquid into a vial in a laboratory setting.

Magellan supports multiple geometry types such as points, polygons, and lines natively. This means that nearly all geospatial datasets can be easily loaded into Magellan; from complex residential geometries to billions of telemetry points with rich metadata, Magellan is able to maintain rapid feature delivery to end users.

Magellan uses the open-source standard MVT to seamlessly deliver data to frontend maps like Leaflet, Mapbox, Maplibre, Kepler.gl and Openlayers making it easy to integrate and scale.

Magellan is middleware for your mapping solution, meaning that it sits between your already existing data sources, and mapping platform to enable rapid delivery of your datasets.

Magellan’s proprietary sharding algorithms allow it to distribute data across arbitrary numbers of servers making scaling simple and predictable when upsizing or downsizing your clusters.

Scientist wearing safety goggles and blue lab attire, using a pipette to transfer liquid into a vial in a laboratory setting.

Magellan supports multiple geometry types such as points, polygons, and lines natively. This means that nearly all geospatial datasets can be easily loaded into Magellan; from complex residential geometries to billions of telemetry points with rich metadata, Magellan is able to maintain rapid feature delivery to end users.

Magellan uses the open-source standard MVT to seamlessly deliver data to frontend maps like Leaflet, Mapbox, Maplibre, Kepler.gl and Openlayers making it easy to integrate and scale.

Magellan is middleware for your mapping solution, meaning that it sits between your already existing data sources, and mapping platform to enable rapid delivery of your datasets.

Magellan’s proprietary sharding algorithms allow it to distribute data across arbitrary numbers of servers making scaling simple and predictable when upsizing or downsizing your clusters.

Scientist wearing safety goggles and blue lab attire, using a pipette to transfer liquid into a vial in a laboratory setting.

Magellan supports multiple geometry types such as points, polygons, and lines natively. This means that nearly all geospatial datasets can be easily loaded into Magellan; from complex residential geometries to billions of telemetry points with rich metadata, Magellan is able to maintain rapid feature delivery to end users.

Magellan uses the open-source standard MVT to seamlessly deliver data to frontend maps like Leaflet, Mapbox, Maplibre, Kepler.gl and Openlayers making it easy to integrate and scale.

Magellan is middleware for your mapping solution, meaning that it sits between your already existing data sources, and mapping platform to enable rapid delivery of your datasets.

Magellan’s proprietary sharding algorithms allow it to distribute data across arbitrary numbers of servers making scaling simple and predictable when upsizing or downsizing your clusters.