Skip to content
DigitalNeuron
Tools & products

AWS Adds Point and Route Support to Amazon QuickSight Layer Maps

AWS says Amazon QuickSight layer maps now support Point and LineString geometry types from GeoJSON files, in addition to existing polygon shapes.

By DigitalNeuron Desk2 min read

Quick answer

What new mapping capability did AWS add to Amazon QuickSight layer maps?

AWS announced that Amazon QuickSight layer maps now support two additional GeoJSON geometry types, Point and LineString, letting users plot individual locations and routes such as store sites or flight paths, alongside the polygon shapes layer maps already supported.

Key takeaways

  • AWS says Amazon QuickSight layer maps can now render two additional GeoJSON geometry types: Point and LineString.
  • According to AWS, Points mark specific locations such as store or facility sites, while LineStrings trace routes between locations, such as delivery paths or flights.
  • AWS states that layer maps previously supported uploading a GeoJSON file to draw custom shape layers like sales territories or districts, joined to a dataset.
  • AWS specifies that a layer map requires a GeoJSON file, a QuickSight dataset, and a shared join key between the two, with the GeoJSON file saved in .geojson format up to a maximum of 100 MB.
  • AWS notes that a single layer renders only one geometry type at a time, so if a GeoJSON file mixes types, only features matching the selected type appear on the map.

Amazon Web Services says it has added two new geometry types, Point and LineString, to the GeoJSON workflow used by Amazon QuickSight layer maps, expanding what the mapping visual can display.

What AWS says is new

According to AWS, layer maps previously let users upload a GeoJSON file to draw custom shape layers, such as sales territories or districts, and join those shapes to a QuickSight dataset. AWS says that approach handled regions and boundaries well but did not cover individual locations within them or the routes connecting them.

With the update, AWS says layer maps now read two additional geometry types from the same GeoJSON workflow. Points, the company says, mark specific locations such as individual store or facility sites. A LineString, according to AWS, traces the route between locations, such as a delivery path or a flight between airports.

How AWS says the feature works

AWS describes a layer map as drawing its shapes from a GeoJSON file and its metrics from a QuickSight dataset, with a shared key joining the two. The company lists the following prerequisites for building a layer map:

  • A GeoJSON file describing the geometry
  • A QuickSight dataset holding the metrics and dimensions
  • A join key shared between the dataset and the GeoJSON file
  • The GeoJSON file saved in .geojson format, with a maximum supported file size of 100 MB

AWS explains that a GeoJSON file is structured as a FeatureCollection containing a features array. Each Feature carries a geometry, which has a type of Point, LineString, or Polygon, and a properties object holding the join key. For a Point, AWS says the coordinates hold a single longitude/latitude position; for a LineString, they hold an ordered list of positions.

AWS says that when configuring a layer in a layer map visual, users set two primary options: the geometry type to visualize (Points, Lines, or Polygons) and the shape file key field, which must be matched to the dataset key field. The company notes that a layer renders only one geometry type at a time, so if a GeoJSON file mixes types, only the features matching the selected type appear on the map. AWS also says the field names used for the join key do not need to match between the dataset and GeoJSON file, but the values do.

Examples AWS provided

AWS walks through two examples in the post. In the first, a LineString feature represents a flight route from JFK to Los Angeles, with coordinates tracing the path and a route_id property used to join to a dataset row; AWS says setting the geometry type to Lines renders this as a route on the map.

In the second, a Point feature represents a retail store location in Long Island City, with a single coordinate pair and a store_id property for the dataset join.

Source: AWS Machine Learning Blog, "Visualize points and routes with GeoJSON in Amazon QuickSight layer maps," published October 23, 2026.

Frequently asked questions

What geometry types does Amazon QuickSight layer maps now support?
AWS says layer maps now support Point and LineString geometries from GeoJSON files, in addition to the polygon shapes they already supported.
What is required to build a layer map in QuickSight?
According to AWS, you need a GeoJSON file describing the geometry, a QuickSight dataset with metrics and dimensions, and a shared join key linking the two files.
What is the file size limit for a GeoJSON file in QuickSight?
AWS states the GeoJSON file must be saved in .geojson format with a maximum supported file size of 100 MB.
Can a single layer map show multiple geometry types at once?
No. AWS says a layer renders one geometry type at a time, so if a file mixes types, only the features matching the selected geometry type appear.

Sources

  1. Visualize points and routes with GeoJSON in Amazon Quick Sight layer maps | Artificial Intelligence — Amazon Web Services (AWS)
Tagsawsamazon-quicksightgeojsonbusiness-intelligencedata-visualizationamazon-quick

Related reading

Amazon Quick Desktop App Reaches General Availability

AWS announced that the Amazon Quick desktop application is now generally available on macOS and Windows. The company also said it is adding a new activity feed to the iOS and Android mobile experience that consolidates email, calendar, CRM, and messaging into one prioritized view.

2 min read

AWS Details Multi-Turn Reinforcement Learning Tool on SageMaker AI

AWS published a technical guide describing Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI, a serverless pipeline that trains models on multi-step agentic tasks using Amazon Bedrock AgentCore to host the agent and reward function, scoring entire action sequences rather than single prompts.

3 min read

AWS Upgrades Amazon Polly's Generative Engine With 14 New Voices

AWS announced a general-availability upgrade to Amazon Polly's Generative engine, adding 14 new voices across 9 locales, including first-time Hindi and Finnish support, bringing the total to 57 generative voices across 11 languages and 25 locales, with no code or pricing changes for existing users.

2 min read