Amazon Aurora for PostgreSQL now supports h3-pg for geospatial indexing
Amazon Aurora PostgreSQL-Compatible Edition 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 Aurora PostgreSQL.
Amazon Aurora PostgreSQL-Compatible Edition 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 Aurora 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.
The h3-pg extension is available on Aurora PostgreSQL 15.5, 14.10, 13.13, 12.17 and higher in all AWS Regions, including the AWS GovCloud (US) Regions.
Amazon Aurora is designed for unparalleled high performance and availability at a global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.