Amazon RDS for PostgreSQL now supports h3-pg for geospatial indexing
Amazon Relational Database Service (RDS) for PostgreSQL now supports the h3-pg extension, which provides an API to H3, an open-source hexagonal, hierarchical geospatial indexing system. With this extension, you can perform different kinds of spatial analysis over large datasets, including efficient indexing and lookups, modeling flow through a grid, and applying machine learning models over your geospatial data stored in Amazon RDS for PostgreSQL.
Amazon Relational Database Service (RDS) for PostgreSQL now supports the h3-pg extension, which provides an API to H3, an open-source hexagonal, hierarchical geospatial indexing system. With this extension, you can perform different kinds of spatial analysis over large datasets, including efficient indexing and lookups, modeling flow through a grid, and applying machine learning models over your geospatial data stored in Amazon RDS for PostgreSQL.
The H3 library provides an invariant set of hexagonal map tiles over multiple layers of resolution. This allows the h3-pg extension to index your geospatial data so you can efficiently query data on your maps. For example, a retailer planning new outlets may want to create a heatmap visualization using traffic, mobility, demographic, and other geospatial datasets to identify locations best suited for their customers. You can also use H3 and PostGIS together to perform different geospatial analyses.
h3-pg is available on database instances in Amazon RDS running PostgreSQL 15.4, 14.9, 13.12 and higher in all applicable AWS Regions, including the AWS GovCloud (US) Regions. Please see the list of supported extensions in the Amazon RDS User Guide for specific versions.
You can get started by launching a new Amazon RDS DB instance directly from the AWS Console or the AWS CLI. You can learn more about h3-pg in the Amazon RDS User Guide.