PostGIS review
A self-hosted PostgreSQL extension for storing, querying, and processing spatial data.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
PostGIS adds geospatial data capabilities to PostgreSQL for developers, data teams, GIS professionals, and organizations that need location-aware queries alongside relational data. It is a database foundation rather than a turnkey location platform: teams deploy it themselves and work through PostgreSQL. Its support for geometry, geography, raster, and 2D and 3D spatial data makes it relevant when location data needs to live and be queried within that database environment.
The feature set spans spatial relationship, measurement, overlay, and geometry-processing functions, coordinate reference system transformations, and geocoding and reverse-geocoding functions. GiST-based R-tree spatial indexes support spatial data lookup. Raster storage and analysis are part of the offering as well as vector-oriented geometry and geography types, so PostGIS can serve projects that need both. These capabilities favor teams building location-aware data workflows; they also mean users should be comfortable managing a PostgreSQL extension and expressing work through SQL rather than expecting a standalone mapping application.
PostGIS is open source and self-hosted, with deployment across Linux, Windows, and macOS. It integrates with QGIS, GeoServer, MapServer, ArcGIS, and Tableau, which gives GIS and mapping workflows several connection points. Support channels include community resources, chat, and documentation. Choose PostGIS when the priority is adding spatial storage and processing to a PostgreSQL foundation and the team can manage that environment. Teams looking for a hosted, turnkey location platform or a product centered on managed service rather than database capabilities should consider alternatives.
PostGIS pros and cons
- Where it wins
- Combines geometry, geography, and raster data support with PostgreSQL.
- Provides spatial indexes and SQL functions for spatial queries and processing.
- Connects with QGIS, GeoServer, MapServer, ArcGIS, and Tableau.
- Where it doesn't
- Requires a self-hosted PostgreSQL environment rather than a turnkey platform.
- Spatial capabilities depend on working with a database extension and SQL.
- Community support may not suit teams seeking vendor-led support.
PostGIS fact sheet, pricing and score →
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update