Google Maps is the map most people know, but it is not the only option, and for many business uses it is not even the right kind of tool. Analyzing where your customers, assets or risks are calls for GIS software. This guide explains what GIS is and how it works, compares GIS software and Google Maps alternatives in 2026, and shows how to integrate GIS into your own systems.

What is GIS?

A geographic information system (GIS) is, in the words of the US Geological Survey, “a computer system that analyzes and displays geographically referenced information” (USGS). Put simply, it stores data together with its location and lets you ask questions about where things are and how they relate in space.

A spreadsheet can tell you how many customers you have in a city. A GIS can tell you which of them live within a ten-minute drive of a planned store, which delivery routes cross a flood zone, or which land parcels a new pipeline would affect.

GIS software, GIS data and GIS maps

  • GIS software is the application that stores, analyzes and displays location data, such as ArcGIS Pro, QGIS or a spatial database like PostGIS.
  • GIS data is the location data itself: coordinates, shapes and the attributes attached to them.
  • A GIS map is the visual result: layers of data drawn on top of each other, often interactive, so you can click a feature and see its attributes.

Is Google Maps a GIS?

Not really. Google Maps is a consumer map and navigation service, and Google Maps Platform is a set of APIs for putting maps, search, geocoding and routes into apps. It uses GIS technology behind the scenes, but it does not let you load your own data sets, run spatial analysis on them or manage them as a GIS does. If your goal is to show a store locator, Google Maps Platform or one of its alternatives is enough. If your goal is to analyze and manage location data, you need GIS software.

How GIS works

Every GIS, from desktop software to a spatial database behind a web app, follows the same basic workflow:

How a GIS works, in five stages: 1, capture location data from surveys, GPS, satellite imagery, open data sets and addresses; 2, store it in a spatial database with a coordinate reference system and spatial indexes; 3, analyze it with operations such as distance and buffer, overlay, routing, density and geocoding; 4, visualize it as map layers, tiles and dashboards; 5, share it through APIs and standard OGC web services with applications and users.HOW A GIS WORKS1CaptureSurveys, GPS,satellites, opendata, addresses2StoreSpatial DB withcoordinates andspatial indexes3AnalyzeDistance, zones,overlay, routinggeocoding4VisualizeMap layers andtiles, styles,dashboards5ShareAPIs and OGCservices to appsand usersAnalysis is what separates a GIS from a map: it answers “where” and “what is near what”.
The five stages of a GIS. The value is in stage 3: combining layers to answer a question.

Layers

GIS organizes data in layers, each holding one kind of feature. Because all layers share a coordinate system, they line up and can be combined in analysis.

A GIS map is a stack of layers that share one coordinate system. From the bottom: a raster layer such as satellite imagery or elevation, a grid of cells; a polygon layer such as land parcels or flood zones; a line layer such as roads or pipelines; and a point layer such as customers, stores or sensors. Each feature in a vector layer carries attributes, for example a parcel's owner and area. Because the layers line up, the GIS can answer questions that combine them, such as which customers live within a flood zone.A GIS MAP IS A STACK OF LAYERSPointsCustomers, stores, sensorsVECTORLinesRoads, rivers, pipelinesVECTORPolygonsParcels, zones, boundariesVECTORRasterSatellite image, elevationRASTERSame coordinate system for every layer, so they line up and can be queried together.
Layers stack like transparent sheets. Analysis combines them, for example points inside polygons.

Vector and raster data

GIS data comes in two basic forms:

Vector and raster data compared. Vector data stores exact geometry: points, lines and polygons with coordinates and attributes, such as a parcel polygon with its owner and area; it is good for boundaries, networks and assets, and stays sharp at any zoom. Raster data stores a grid of cells, each with a value such as elevation, temperature or a pixel color; it is good for imagery and continuous surfaces, and its detail is fixed by the cell size.VECTOR VS RASTER DATAVectorExact shapes with attributesowner: Cityarea: 1.2 haParcels, roads, assets · sharp at any zoomRasterA grid of cells, one value eache.g. elevationin metersImagery, terrain · fixed cell size
Most business GIS work is vector data; raster data comes in with imagery, terrain and environmental analysis.
VectorRaster
StoresPoints, lines and polygons with coordinatesA grid of cells, each with a value
Good forAssets, parcels, networks, addresses, boundariesSatellite and drone imagery, elevation, temperature, land cover
Common formatsGeoJSON, GeoPackage, Shapefile, KML, GeoParquetGeoTIFF, Cloud Optimized GeoTIFF, JPEG 2000
Typical operationsDistance, buffer, intersection, routingMap algebra, slope, classification

Coordinate reference systems

A location is only meaningful together with its coordinate reference system (CRS), which defines how numbers map to places on the Earth. GPS uses WGS 84 (code EPSG:4326, latitude and longitude in degrees), while web maps draw tiles in Web Mercator (EPSG:3857). Distances and areas are best calculated in a projected system for the region, or on the spheroid. Mixing systems without converting is the most common source of data that appears in the wrong place.

Spatial analysis

This is what turns a map into a decision tool. Common operations:

  • Proximity and buffers: everything within 500 meters of a school, or within 2 km of a store.
  • Overlay: combine layers, such as customers inside a flood zone, or parcels crossed by a planned road.
  • Network analysis: shortest routes, drive-time areas and delivery planning along real roads.
  • Geocoding: turning addresses into coordinates, and the reverse.
  • Density and hot spots: where incidents, sales or claims cluster.
  • Terrain and raster analysis: slope, visibility and change over time from imagery.

Spatial databases and standards

Behind most GIS applications sits a spatial database that stores geometries and indexes them, usually with R-tree style indexes, so that “what is near here” queries stay fast. PostgreSQL with the PostGIS extension is the open-source standard; Oracle, SQL Server and MySQL have spatial types as well. A query in PostGIS looks like ordinary SQL with spatial functions:

-- Customers within 2 km of a planned store, nearest first
SELECT c.id, c.name,
       ST_Distance(c.location::geography, s.location::geography) AS meters
FROM customers c
JOIN planned_stores s ON s.id = 7
WHERE ST_DWithin(c.location::geography, s.location::geography, 2000)
ORDER BY meters;

Systems exchange GIS data through open OGC standards from the Open Geospatial Consortium: WMS for map images, WFS and the newer OGC API Features for vector data, and WMTS for map tiles. They are the reason a layer published by one tool can be used in another. For more on databases in general, see our guide to database management systems.

Where businesses use GIS

IndustryTypical GIS use
Real estate and constructionSite selection, parcel and ownership data, affected parties, planning constraints
InsuranceFlood, wildfire and storm exposure per property; accumulation risk in a portfolio
RetailStore location planning, catchment areas, delivery zones
Logistics and transportRoute optimization, fleet tracking, depot planning
Utilities and telecomNetwork assets, maintenance planning, coverage analysis
TravelSearch by location, distance to points of interest, maps of availability
Public sectorUrban planning, emergency response, environmental monitoring

GIS software in 2026

GIS software falls into three groups: desktop GIS for analysts, server and database software for applications, and cloud platforms.

Esri ArcGIS

The commercial market leader. ArcGIS Pro is the desktop application, ArcGIS Online and ArcGIS Enterprise publish maps and services, and ArcGIS Location Platform offers maps, geocoding and routing as APIs for developers. It covers almost any GIS task and is common in government, utilities and large enterprises. The trade-offs are license cost and dependence on one vendor.

QGIS

The leading free and open-source desktop GIS, available for Windows, macOS and Linux. It reads nearly every GIS format, connects directly to PostGIS and has thousands of plugins. The current release line is QGIS 4.2, with 3.44 as the long-term release for organizations that prefer stability (QGIS). For most analysis work, QGIS is a credible alternative to commercial desktop GIS.

PostGIS

The spatial extension to PostgreSQL and the foundation of many custom GIS applications. It adds geometry and geography types, spatial indexes and hundreds of spatial functions, so location becomes part of ordinary SQL queries and transactions.

GeoServer and other map servers

GeoServer is an open-source Java server that publishes data from PostGIS, files and other sources as OGC web services and map tiles. MapServer is a long-standing alternative written in C. Together with PostGIS, they form the core of many self-hosted GIS stacks.

GRASS GIS and specialist tools

GRASS GIS is an open-source system strong in raster, terrain and environmental modeling. Libraries such as GDAL for format conversion, and GeoTools and JTS for Java, power much of the GIS software above.

Cloud and big data platforms

Cloud data warehouses such as Google BigQuery, Snowflake and Databricks now offer spatial functions, so large location data sets can be analyzed without moving them into a separate GIS. CARTO builds spatial analytics on top of them.

Google Maps alternatives in 2026

“Alternative to Google Maps” means different things to a traveler and to a development team. Here are both.

Map APIs and platforms for developers

Google changed Google Maps Platform pricing on 1 March 2025: the $200 monthly credit was replaced by free monthly usage caps for each service, with volume discounts that now extend to over 5 million monthly events (Google). For apps with heavy map traffic, the bill still adds up quickly, which is a common reason to look at alternatives:

PlatformWhat it offersGood fit when
MapboxCustom-styled vector maps, navigation and search SDKsDesign control and mobile navigation matter
MapLibre + OpenStreetMapOpen-source map rendering with open map data, self-hosted or from tile providers such as MapTiler or Stadia MapsYou want no per-view license fees and full control
HEREMaps, geocoding, routing, truck routing and traffic for enterpriseLogistics, automotive and fleet use
TomTomMaps, routing, traffic and search APIsNavigation and traffic-heavy apps
Azure MapsMicrosoft’s maps, search, routing and weather APIs, the successor to Bing MapsYour systems already run on Azure
Esri ArcGIS Location PlatformBasemaps, geocoding and routing APIs with access to ArcGIS analysisYou need GIS analysis, not only maps

A few facts behind these choices. Bing Maps for Enterprise is being retired: free accounts have already lost access, and enterprise customers must move to Azure Maps by 30 June 2028 (Microsoft). MapLibre began as an open-source fork of Mapbox GL JS after Mapbox switched to a non-open-source license in December 2020 (MapLibre). OpenStreetMap, the free map of the world that MapLibre-based maps usually draw on, has more than 10.9 million registered users (OpenStreetMap statistics). And the Overture Maps Foundation, founded in December 2022 by Amazon Web Services, Meta, Microsoft and TomTom, publishes open map data that combines several sources (Linux Foundation).

Navigation apps for everyday use

AppStrengthsMap data
Apple MapsPrivacy focus, deep iPhone integration; also on the web since its beta launch in July 2024 (Apple)Apple’s own
WazeCrowd-sourced traffic, police and hazard reports for drivers (owned by Google)Google and community
HERE WeGoOffline maps for whole countries, public transportHERE
OsmAndDetailed offline maps, hiking and cycling, open sourceOpenStreetMap
Organic MapsFast, private, offline, no ads or trackingOpenStreetMap
CitymapperPublic transport in large cities, step by stepMixed

GIS integration: adding location intelligence to your software

For most companies, the most valuable GIS is not a separate desktop tool but location data and analysis built into the systems people already use: a claims system that shows flood exposure, a CRM that plans sales territories, a project tool that knows which parcels a project touches.

A typical architecture for adding GIS to a business application. Users work in the web or mobile application, which shows maps with a map library such as MapLibre or Leaflet. The application's backend calls a spatial database, PostgreSQL with PostGIS, for spatial queries, and a map server such as GeoServer that publishes layers as OGC web services and map tiles. External services provide base maps, geocoding and routing, from providers such as Google Maps Platform, HERE, TomTom, Mapbox or self-hosted OpenStreetMap. Desktop GIS tools such as QGIS or ArcGIS Pro connect to the same database for analysts.WHERE GIS FITS INTO A BUSINESS APPLICATIONWeb or mobile appMap library: MapLibre, Leaflet, OpenLayersBackend and APIsBusiness logic, JavaSpatial databasePostgreSQL + PostGISSpatial SQL, indexesMap serverGeoServerOGC services, tilesExternal servicesBase maps, geocoding,routing, trafficAnalysts connect desktop GIS (QGIS, ArcGIS Pro) to the same spatial database.
A common architecture for GIS integration. Each box can be open source, a cloud service or a mix.

Building blocks

A GIS integration is not one product but a few components that work together. You rarely need all of them on day one, but each has a clear job:

  • Spatial data model. Store locations as proper geometry types, such as PostGIS geometry or geography, with a defined coordinate system and spatial indexes, not as two loose number columns.
  • Spatial queries in the backend. Distance, containment and intersection run in the database, close to the data. In Java, Hibernate Spatial maps geometry columns to JTS objects.
  • Map display. A web map library such as MapLibre GL JS, OpenLayers or Leaflet draws base maps and your own layers.
  • Publishing layers. GeoServer or a tile server turns your data into OGC services and vector tiles that maps and desktop GIS can consume.
  • External location services. Geocoding, routing and traffic from a provider, or self-hosted on OpenStreetMap data with open-source routing engines.
  • Data pipelines. Regular imports of external data, such as parcels, administrative boundaries, flood maps or Overture places, with validation and conversion to your coordinate system.

Practical advice

Most problems in GIS projects come not from the map itself but from data, licensing and cost decisions made too late. A few lessons from projects like ours:

  • Decide early whether location is core data. Adding spatial types later means migrating data and queries.
  • Watch API costs. Cache geocoding results where the provider’s terms allow it, and check how each provider counts map loads, requests and sessions.
  • Check data licenses. Terms differ on storing results, mixing data sources and showing data on other maps. OpenStreetMap requires attribution and share-alike for derived databases.
  • Keep providers replaceable. Put geocoding and routing behind your own interface, so you can switch providers when prices or coverage change.
  • Mind performance. Spatial queries over millions of features need indexes, simplified geometries for display, and tiles rather than raw features in the browser.

We built exactly this kind of system for a real estate management company: a project management platform for large construction projects with spatial data in its core data model, built in Java, PostgreSQL, Angular and GeoServer.

Case study: a GIS-integrated project management system for a real estate management company. Stratoflow built it from scratch in Java, PostgreSQL, Angular and GeoServer, with spatial data part of the data model. It covers cost estimation, field surveys, legal status and project costing, and runs several organizations' projects as a multi-tenant platform.CASE STUDY: REAL ESTATEGIS-integrated project managementA multi-tenant system for large constructionprojects, with spatial data in the data modelrather than a map widget on top.GIS-nativedata modelMulti-tenantplatformAngular appJava backendPostgreSQL, GeoServerRead the case study

If you want to add maps, spatial search or GIS analysis to your platform, our Java development team can design the data model and integration, or extend your team with engineers who have done it before. See also our work in real estate software development.