Including Open Source Solutions in Your GIS Strategy

Within enterprise GIS, open source tools are no longer an experiment. They are now a routine part of strategic planning.

Search interest in options such as QGIS has been steadily rising and, in some regions, is comparable to more established proprietary platforms. At the same time, very few organizations want to abandon existing investments in commercial GIS. The central question is no longer whether open source should be considered, but how it can be included in an environment that remains secure, governed, and sustainable.

This blog focuses on practical ways to incorporate open source into your GIS roadmap and what that can look like in real-world architectures.

Why Open Source Belongs in the Strategy Conversation

Open source now appears in many GIS strategies for several practical reasons.

Licensing is more flexible, which allows organizations to align cost with actual usage rather than assigning premium licenses to users who only require basic viewing or editing. Leading projects such as QGIS and PostGIS also benefit from active global communities that deliver frequent enhancements, plugins, and integrations. Many graduates and early-career professionals are trained on these tools, so including them aligns well with current skills entering the workforce.

Equally important, open source reduces long-term dependency on a single vendor or proprietary storage format. When spatial data resides in open, well-documented schemas that follow OGC standards, organizations retain greater control over how that data is accessed, shared, and extended over time.

From "Free Software" to Strategic Building Blocks

Open source is often introduced as a way to reduce licensing costs. While cost can be a factor, the more significant impact is architectural.

A pattern that has proven effective in recent projects begins by placing data and standards at the center. Spatial data is stored in a relational database such as PostgreSQL with PostGIS, using OGC-compliant geometry types. That database becomes the single source of truth for geographic information and can be directly accessed by more than GIS centered applications. Open data structures provide flexibility and reduce the risk of vendor lock-in.

Desktop tools such as QGIS connect directly for editing, analysis, and cartography. Web services are published through engines like GeoServer and related components, exposing OGC-standard interfaces that allow mobile applications, web viewers, dashboards, and external systems to consume the same authoritative layers.

Above this, a managed web GIS platform provides the administration and user experience layer. It manages identity and access control, centralizes configuration of projects, forms, and business rules, supports online and offline fieldwork, and exposes APIs for integration with surrounding business systems. In this model, open source components are not isolated utilities. They are core building blocks within a cohesive platform.

Because data is stored in open, standards-based structures, organizations can introduce new clients or retire existing tools without repeatedly migrating to new proprietary formats.

Deployment Models: Owned or Managed

A key consideration when implementing open source is how the environment is deployed and operated.

Some organizations choose to host and manage open source components within their own infrastructure. This approach offers maximum control but also places responsibility for installation, upgrades, security patching, monitoring, and support entirely on internal teams.

Others adopt a managed model by working with a partner like Open Spatial. In this scenario, the partner is responsible for deploying and maintaining the infrastructure, applying updates, monitoring performance, managing backups and disaster recovery, and providing defined support services. This approach allows organizations to benefit from open source flexibility while maintaining predictable operational ownership and service levels.

Both models are valid. The right choice depends on internal capacity, risk tolerance, and long-term operational strategy.

Policy, Mandates, and Strategic Considerations

In government and public-sector environments, open source is increasingly part of formal evaluation rather than an optional alternative.

In Australia, federal ICT procurement policy has directed agencies since 2011 to consider and evaluate open source software during technology selection, with the objective of improving portability and interoperability, fostering innovation, and reducing long-term dependency risks. Several states have expanded on this approach through their own digital and enterprise architecture guidance.

Queensland has published specific guidelines that encourage evaluation of open source options where appropriate. Other jurisdictions, including New South Wales and Victoria, emphasize data portability, reuse, collaboration, and interoperability as core digital principles, through broader digital and data strategies, generally promoting open standards without standalone open source policies.

In practice, this means GIS strategies in the public sector are often expected to demonstrate that open source options have been considered and assessed alongside commercial platforms.

Addressing Common Concerns

Despite the advantages, GIS and IT teams often raise similar questions when open source enters the discussion.

Who supports open source solutions?

Open source software does not imply a lack of support. There are 2 broad mechanisms. Number one is to have the skills internally to do the basic support and rely on the open source community for Bugfixes and updates. If there are sufficient skills inhouse, the organization may supply fixes and donate to the open-source community. For specific enhancements the organization may contract the community to add the required functionality. This provide wide flexibility on influencing the direction of development to a larger extent than is typically possible with closed sourced software, especially with large vendors involved.

Internally, once deployed, open source environments are supported like any other production system through defined operational processes, monitoring, and governance.

For externally cloud based systems, most organizations work with an implementation partner such as Open Spatial to deploy, harden, and manage the environment. This typically includes hosting in a Tier 1 cloud, managing backups, monitoring performance, and providing a service desk with clear service levels. Alongside this, the broader open source community provides extensive documentation, peer support, and ongoing development. Together, these avenues combine operational accountability with transparency and long-term sustainability.

Is open source cloud- and AI-ready?

In short, yes. Open source spatial technologies are well suited to cloud-native deployments and modern analytics workflows.

Components such as PostGIS, GeoServer, and related tooling are routinely deployed in scalable cloud environments and integrated with automation, event processing, and data pipelines. From an analytics perspective, many foundational AI and machine learning capabilities originate from open source research and development. Open spatial databases and standards-based services provide a strong foundation for applying spatial analysis, automation, and emerging AI-driven workflows without locking data into proprietary formats.

This makes it easier to evolve analytical capabilities over time as techniques mature.

Will this increase integration complexity?

Integration challenges usually arise when tools are deployed in isolation.

When open source components are treated as part of a platform, complexity often decreases rather than increases. Identity, permissions, schemas, and configuration are centralized. Desktop, web, and mobile clients all work from the same authoritative database and services.

Open APIs and OGC standards simplify integration with asset systems, analytics platforms, and external business applications. This approach expands integration possibilities while reducing duplication and fragile point-to-point connections.

Is our data really secure?

Security is a common concern, but well-managed open source environments can meet the same enterprise security requirements as proprietary systems.

When deployed in a managed enterprise cloud environment, security controls extend beyond the application layer to include infrastructure-level protections. These typically include encryption in transit and at rest, role-based access control, audit logging, vulnerability monitoring, and documented disaster recovery processes.

Managed deployments often align with widely recognized frameworks and certifications such as ISO/IEC 27001 and 27002, SOC 2 reporting, IRAP PROTECTED assessments, and Essential Eight maturity targets. Regular patching, monitoring, and tested recovery procedures ensure that security and resilience are maintained throughout the system lifecycle.

Practical First Steps

Incorporating open source into a GIS strategy does not require wholesale migration. A series of targeted steps can build confidence and deliver early value.

1. Understand your current landscape. Document where authoritative datasets live, which systems rely on them, and which user groups need which capabilities. This makes it easier to identify low-risk opportunities for change.

2. Prioritize open, standards-based storage. Plan to move key datasets into an open source spatial database such as PostGIS over time, using schemas aligned with OGC Simple Features wherever practical. This single step significantly improves flexibility and integration options.

3. Select clear initial use cases. Identify roles that are well suited to open source tools, such as desktop analysts using QGIS or viewing use cases be delivered through standards-based web services. Communicate changes clearly, including how support will work.

4. Embed governance and operations. Open source environments still require role-based access control, training, change management, monitoring, and disaster recovery. A managed platform that centralizes these responsibilities, while still exposing open data and services, provides a stable foundation.

Collectively, these steps move an organization toward a data-first, standards-driven architecture that is less constrained by individual products and more aligned with long-term business needs.

Continue the Discussion

Including open source solutions in your GIS strategy is ultimately about choice and control. It enables a fully on-site, hybrid or fully cloud-first environment where data remains accessible and portable, while users have the right tools across desktop, web, and mobile.

In our upcoming webinar on this topic, we will explore real-world architectures that combine open source and commercial GIS, discuss lessons from recent projects, and outline practical steps to manage risk while increasing flexibility. There will also be time for questions so you can consider how this approach might apply in your own environment. Register here: https://www.openspatial.com/events-news