
QGIS
7/10QGIS is a free, open source desktop GIS. Organisations use it to view, edit, analyse and map spatial data, including vector, raster, mesh and point cloud layers.
Data last updated November 2026 · Our methodology
Overview
QGIS is a desktop geographic information system that runs on Windows, macOS and Linux. It is an OSGeo project released under the GNU GPLv2+ licence. Gary Sherman started it in 2002 as Quantum GIS. The QGIS Development Team and volunteer contributors now maintain it, and the 4.x series moved it onto the Qt6 framework. QGIS handles vector, raster, mesh and point cloud layers. Its tools cover cartography, print layouts and atlases, digitizing, custom attribute forms, a large set of processing algorithms, and a graphical model builder for automating workflows. Point clouds load from LAS, LAZ, EPT and virtual point cloud files, and you can render them by classification and filter them with PDAL expressions. QGIS cannot edit point clouds itself; for that it points users to CloudCompare or PDAL. You can extend it with Python or C++ plugins, and it connects to PostGIS, SpatiaLite, MySQL and standard web map services. The software has no licence fees. Organisations that need help usually pay third-party support providers or certified trainers, and many fund the project through sustaining memberships. For field data collection, the separate QField app syncs QGIS projects to phones and tablets. QGIS suits utilities, local government, consultancies and engineering firms that want an alternative to ArcGIS without per-seat costs. It is a GIS, though, not an asset maintenance system. It has no work orders, maintenance scheduling or sensor monitoring out of the box. Reviewers also report slow performance and crashes on large datasets, and a steep learning curve for newcomers.
Our Rating
Who QGIS is best for
Good fit
Reviewers note that being free and open source makes it popular for students and academic projects.
Public bodies use it widely for mapping because it has no licence cost and supports open standards.
- Consultancies8/10
Firms can deploy it on any number of seats for analysis and map production without licence fees.
It covers spatial analysis and point cloud viewing, but CAD and BIM work need other tools.
It can map networks and assets, and plugins and PostGIS extend it, but it has no built-in maintenance workflows.
Pros & Cons
Pros
- No licence fees on any number of seats, under the GPLv2+ open source licence.
- Python and C++ plugins let teams add custom tools and database connectors such as PostGIS.
- It reads many data formats and standard web services, which makes it easy to connect to existing data.
- Its print layout, atlas and report tools suit organisations that produce a lot of maps.
- It loads LAS, LAZ and virtual point cloud datasets with classification-based rendering.
Cons
- Capterra reviewers report slow performance, freezes and crashes on heavy workloads.
- Newcomers describe a steep learning curve and say installation can be difficult.
- There is no vendor-backed support contract; help comes from the community or third-party providers.
- It cannot edit point clouds and has no asset maintenance features such as work orders.
- Some reviewers say it lacks tools that ArcGIS Pro offers.
Key Features
Not included
- Work Orders
QGIS Pricing
QGIS (open source)
- Python and C++ plugins
- Windows, macOS and Linux
- Free and open source under GPLv2+
- Full analysis, cartography and layout tools
Frequently Asked Questions
No. It is free and open source under the GNU GPLv2+ licence. Paid support comes from third-party providers, and organisations can fund the project through sustaining memberships.
Not directly. The separate open source QField app, available for Android, iOS and Windows, takes QGIS projects into the field. It supports custom forms and photo capture, and it syncs through QFieldCloud.
Yes, within limits. It loads LAS, LAZ, EPT and virtual point cloud files, renders points by classification and filters them with PDAL expressions. It cannot edit point clouds.
Windows, macOS and Linux.
Through plugins written in Python or C++. Examples add geocoding, extra geoprocessing tools and database connections.
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