QGIS Review: Features, Installation, and Benefits

QGIS is an open source software geographical information system (GIS) programme designed to view, create, edit, analyse and visualise geographical data. The project is distributed under the GNU GPL license, which permits use, study, and modification of its source code in accordance with the license terms.

QGIS targets both professional users and developers, IT specialists, system administrators, consulting firms, and organizations that need to work with spatial data without being locked into a proprietary solution.

Its value goes beyond map display. The official documentation presents QGIS as an open‑source platform capable of visualizing data, producing maps, creating and editing data, performing analyses, publishing information on the web, and extending its functionality via plugins.

This review therefore examines QGIS’s main features, installation, automation possibilities, advantages and limitations, and then compares it with several alternatives.

What Problems Does QGIS Solve?

Traditional GIS software can represent a significant investment when it requires commercial licenses, add‑on modules, or specific deployment models. QGIS offers an alternative approach based on free software and an extensible architecture.

The project can meet the following needs:

• visualise vector and raster data in various formats
• create and edit geographic features
• perform spatial processing and analysis
• produce professional‑grade maps and layouts
• work with spatial databases
• automate tasks with Python
• extend functionality with plugins
• consume online geographic services
• publish data and maps via QGIS ecosystem components

QGIS supports many formats and data sources. Its documentation specifically mentions GeoPackage, Shapefile, PostGIS, SpatiaLite, MS SQL Spatial, Oracle Spatial, as well as numerous raster formats handled by GDAL. 

For an IT team, this compatibility is especially valuable when integrating data from multiple systems.

Key Features and Capabilities

Interface and Cartography

QGIS’s graphical user interface enables layer management, data exploration, and map composition. The software also provides layout tools for producing cartographic documents.

Functions include:

• display of vector and raster data
• 2D and 3D visualisation
• projection handling
• on‑the‑fly reprojection
• layer symbology
• labeling
• map composition
• layout creation
• export of cartographic products
• spatial bookmark management

The official documentation also notes that QGIS can work with data from spatial databases and OGC services such as WMS, WMTS, WCS, WFS, and WFS‑T.

Data Analysis and Processing

QGIS is more than a mapping tool. Its processing framework allows chaining of various geospatial operations to build complex workflows. 

According to the official docs, capabilities include data creation/editing, geometric operations, raster processing, spatial analysis, and the use of tools from different geospatial engines.

A GIS specialist could, for example, build a workflow consisting of:

1. data import
2. geometry validation and preparation
3. reprojection
4. selection of relevant features
5. spatial analysis
6. result generation
7. map creation
8. export or publication

Plugins and Customisation

The plugin architecture is one of QGIS’s strongest points. Extensions can add new functions to the core application.

Documentation distinguishes core plugins (maintained by the QGIS team) from external plugins, usually written in Python by the open‑source community and available in the official QGIS plugin repository.

This architecture lets organisations tailor QGIS to specific business needs without altering the core software.

Typical use cases include:

• integrating an internal service
• automating a repetitive task
• adding a domain‑specific interface
• connecting QGIS to an existing system
• developing bespoke tools for end‑users

Automation with Python

QGIS includes an integrated Python console and provides APIs for interacting with the application. The official documentation describes using PyQGIS and the Python Console to automate and extend QGIS. 

This is especially attractive to developers and IT teams, enabling scripts that automate processing, create plugins, or build reproducible geospatial workflows.

QGIS can thus fit into broader data‑processing automation strategies.

Installation and Configuration

How to Install QGIS?

Installation steps vary by operating system. The official website offers installers for Windows, macOS, and various Linux distributions, as well as options like Flatpak, distribution‑specific packages, and source code. 

A typical installation may follow these steps:

1. Visit the official QGIS download page.
2. Choose the appropriate operating system.
3. Select the version that matches the organisation’s deployment policy.
4. Download the installer or package.
5. Run the installer with required settings.
6. Verify the installed version.
7. Configure connections to data sources.
8. Install only the needed plugins.

For a professional environment, it is advisable to test a version in a validation environment before wide deployment. 

The project also provides documentation for different releases, including Long‑Term Release (LTR) versions.

Configuration for a Professional Environment

Enterprise deployments require more attention than a personal install. 

Consider defining:

• authorized QGIS versions
• approved plugins
• accessible data sources
• user profiles
• connection parameters
• update procedures
• project backup rules
• extension‑control processes

QGIS security documentation recommends careful plugin control in sensitive environments. While external plugins undergo manual review, the project does not perform deep security audits of their code.

Security and Administration

Security for QGIS should be treated like any professional application that bundles many dependencies and allows script execution.

The project notes that security issues may stem from QGIS code, its dependencies, or its Python bindings. Recommendations include keeping the software up‑to‑date and, in high‑risk settings, auditing plugins before deployment.

A reasonable system‑administrator strategy is to:

• maintain a controlled QGIS version
• test updates before rollout
• restrict approved plugins
• control accessible data sources
• monitor dependencies
• document user profiles and configurations
• have a rapid‑response plan for vulnerabilities

QGIS also offers mechanisms for organisations to tighter‑control plugin environments and certain configuration parameters.

Use Cases for QGIS

QGIS can be applied in many professional contexts because its functions span visualisation, editing, analysis, and cartographic production. The project reports use for daily GIS data visualisation, data collection, advanced analyses, and map/atlas/report generation.

Territorial Analysis

A planning department can overlay multiple data sources, analyse spatial relationships, and produce decision‑support maps.

Infrastructure Management

Teams can work with layers representing roads, networks, buildings, etc., then run queries and spatial analyses.

Environment & Research

QGIS can process environmental datasets, create thematic maps, and handle diverse geospatial formats.

Automation & Development

Developers can leverage Python and QGIS’s extension mechanisms to create reproducible workflows or custom organisational tools.

Data Publication

The QGIS ecosystem includes QGIS Server, which publishes data and maps via web services. Documentation cites WMS, WCS, WFS, and OAPIF among the supported protocols.

Comparison with Alternatives

Choosing a GIS depends on needs, budget, IT ecosystem, and required analysis depth. The table below compares QGIS with three different alternatives.

QGIS and GRASS GIS are both open‑source projects. GRASS is positioned mainly as a processing and analysis engine, offering over 500 modules.

ArcGIS Pro follows a commercial model with tiered licensing and integrates with ArcGIS Online/Enterprise.

Google Earth Pro focuses on planetary exploration, visualization, historic imagery, and limited GIS import/export functions; it is available on PC, Mac, and Linux.

QGIS for IT Professionals

For developers and IT specialists, QGIS’s extensibility is a key advantage.

Thus, QGIS’s value for an IT team lies both in its GIS capabilities and in its extensibility and integration potential.

Advantages and disadvantages

Is QGIS Worth Using?

For professional users seeking a versatile GIS without proprietary licensing costs, QGIS is a compelling option and can be regarded as an open‑source service suitable for various professional needs.

Its main strength is bundling mapping, editing, analysis, data processing, database connectivity, plugin extensibility, and Python automation in a single application.

For developers and IT specialists, extensibility is likely the most valuable aspect. For system administrators, the trade‑off is the need to manage versions, plugins, dependencies, and security policies correctly.

QGIS should not be assumed automatically superior to all alternatives. GRASS GIS may be preferable for certain advanced geospatial processing tasks, while ArcGIS Pro may be the best fit for organisations already entrenched in the Esri ecosystem.

Conclusion

QGIS is today a comprehensive open‑source GIS platform that goes far beyond simple map visualisation. Its capabilities cover geographic data management, cartography, spatial analysis, automation, database integration, and plugin‑based extension.

For developers, the Python API and plugin architecture open extensive automation and customisation possibilities. For GIS professionals, its broad format and service compatibility is a major asset. For enterprises, the open‑source model can reduce reliance on proprietary licences, although deployment, administration, training, and technical support costs still need separate evaluation.

QGIS clearly merits serious consideration for professional GIS projects, especially when openness, flexibility, automation, and software‑cost control are priorities.