Open source without data portability isn’t real freedom

Is data portability your open source project's biggest untapped competitive advantage?

Open source doesn’t just mean free access to code. Open source is about much more: the freedom to choose, the freedom to adapt, and the freedom to move. One of the most overlooked pillars of that freedom is data portability. Too often, even in open source systems, data gets trapped behind opaque structures, custom formats, or undocumented export tools. That lock-in has dire consequences. When your data can’t move easily, your independence is compromised. Likewise, when data structures represent a major hurdle to adoption and work within the open source ecosystem, it compromises the ability to onboard new contributors and test out new ideas.

Why data portability is essential for open source independence

Avoiding vendor lock-in remains one of the strongest drivers of open source adoption. No person or organization wants to be stuck with a single supplier’s product or pricing model just because its data cannot be migrated elsewhere. Open source in itself already offers certain flexibility when choosing vendors and suppliers, such as your WordPress host. Yet, when choosing between solutions and options, it sometimes becomes necessary to move data between software products, either to ensure compliance or to get different feature sets.

Unfortunately, even open projects can stumble here. Data models that rely on bespoke structures make imports and exports painful. ERP systems are probably the best example. There are countless open source ERP solutions available, but migrating data between them is almost always a significant hassle. In fact, the lack of data portability makes migrating between open source solutions as painful as moving from a proprietary system to an open one.

How data portability enables open source integration

Integration between different tools is another area where data portability, including through well-defined APIs, is a basic requirement. If we look at the walled gardens by Big Tech, we see that these vendors often build many tools that work together. The document editor works with the file store, the ERP with the groupware, and all feed the same knowledge base.

In the open source world, all of these solutions are provided by different providers. The same goes for database backends and identity services which are tied to different projects or vendors. Unless all these pieces work together, though, the customer won’t have the same experience that they have within a walled garden. For the ERP and the groupware to work together, they need to use the same calendar. To populate and edit an offer letter, the Office component must talk to the ERP and the knowledge base before storing the document in the file store. All this requires data that is portable between different solutions.

Germany’s Open Desk is the best example. None of the components are new and all are based on open source. Yet, by combining components through well-documented APIs and open data formats, these standalone solutions became a comprehensive productivity suite.

Read more: How Germany is transforming their public sector with open source

How custom data formats slow down contributors

Custom data formats create another barrier for new contributors. Before they can help fix bugs or build features, they must understand how a project handles its data. This adds unnecessary complexity for new entrants and introduces friction to their participation. The more standardized and transparent the data, the faster newcomers can join, innovate, and expand the ecosystem. At a time when open source needs more contributors, no project can afford erecting additional barriers.

Additionally, the more contributors understand file formats and data structures, the less error-prone the code becomes. Thus, cybersecurity and maintainability benefit when barriers are reduced and newcomers have some familiarity with the formats.

Data as open as the source code

Maintaining data portability is a discipline, not an accident. It comes from deliberate design choices and consistent documentation. Naturally, the easiest way to ensure data portability is to favor open standards. For data that the end user stores on their own hard drive, using open data formats should be the norm. 

Often, these formats are well-documented and have undergone extensive evolution, making them robust and easy to use. The German government’s recent switch to the Open Document Format also shows that these existing standards are widely accepted even among large customers.

For web-based solutions, open source software data layers and open APIs are the equivalent. They enable users to quickly use existing data, connect services, and, if needed, export data for migration. Again, most of these solutions are well-documented and often interoperable with existing technologies.

Use existing libraries for auxiliary functions

User and permission management are core features of most modern solutions. For desktop solutions, we normally outsource permissions to the file system’s robust permission system. For cloud applications, however, we tend to reinvent the wheel. It doesn’t have to be this way. From simple OAuth libraries like oauth4webapi to comprehensive user management backends such as Better-Auth framework, we already have solutions that are well-documented and enable easy import and export of auxiliary data such as user identities.

The same holds true for many other areas. Caldav and WebDAV libraries provide well-known backends for files and calendars. Using these backends not only reduces the workload but often allows for easy integration and export tools as well.

Read more: A developer’s guide to modern data infrastructure

Documentation is key: When in doubt, write it down

Unfortunately, it is sometimes unavoidable to create new data formats and tools. But there is a difference between creating a new black box and creating an easy-to-use system. Beyond software engineering, documentation is the most critical aspect in making data portable. If administrators and users cannot find the right buttons or scripts to import or export their data, there is no way to make the data actually portable.

Likewise, well-thought-out file formats and modular libraries will attract significantly more interest from people who want to reuse them – but only if the documentation really makes them easy to use. As a result, the new format might become the next open standard instead of creating an island.

Data portability is the next competitive advantage

Open source thrives on interoperability and transparency. When users are afraid of vendor lock-in, portability and open source offer them a way to retain control over their data. Moreover, every project that embraces portable data contributes to an ecosystem where users can move freely, developers can collaborate effortlessly, and innovation isn’t shackled by technical boundaries.

Let us embrace data portability and strive to build an ecosystem that works together. After all, why reinvent the wheel when a global community has already made the progress possible?

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• A developer’s guide to modern data infrastructure
• How Germany is transforming their public sector with open source
• Open source is critical infrastructure, not just a development model
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